Coding Night for Data Science and Data Analytics Project

Python Ka Chilla 2024-2025 Coding Night for Data Science and Data Analytics Project

Python Ka Chilla 2024-2025

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Why Should You enroll?

What is Python ka Chilla 2024?

Video - 10:16 mins

Python seekh len Python ka Chilla is back #pythonkachilla

Video - 6:24 mins

Enroll in LMS of Python ka Chilla 2024-25

Video - 5:52 mins

Resources for the Course

Books for the course

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GitHub Repository for the course

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Day-1

Course content in this course

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Registration is still open

Important Rules for the course

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Turn on Video during meetings

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What is Python?

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LMS (Learning Management System) for the course

Video - 9:26 mins

Zoom Meeting Questions and Answers

Video - 27:26 mins

Day-2

Installing different software to use Python for Data Science

Video - 12:43 mins

VScode profile, extensions and themes for Python

Video - 6:31 mins

Files and Folders management in VScode

Video - 9:36 mins

GitBash and miniconda | Integration | Solutions

Video - 7:35 mins

miniConda | Environments and Installations | A complete Guide

Video - 22:06 mins

Day-3

What we have learned so far and updates about the course

Video - 6:34 mins

Python for Data Science and popularity of python

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Important Logins to make for Python for Data Science

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Access GitHub student or teacher developer pack

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Naming conventions and rules for Python for Data Scientists

Video - 16:20 mins

Ads in videos and Website

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Jupyter notebooks | .ipynb vs. .py files

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Jupyter Notebooks or .ipynb files for Data Scientists

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MarkDown Language in 72 Minutes

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Day-4

Variables in Python

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Types of Variables in Python

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Type casting in Python (1/2)

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Type Casting in Python (2/2)

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Day-5

Commenting in Python is important

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git bash in vscode and conda in gitbash

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Screen-casting mode in VSCode to show keyboard

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Debugging is an art you need to learn

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Day-6

Google Your Errors and Answers to most common errors

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Alternatives to GitHub copilots for VScode | Blackbox and codeium

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Activating GitHub copilot while in the university

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Do not share any link to anyone Plzzzzzzz

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Zoom Meeting (Recording) for Python ka chilla 2024 on 06 10 2024

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Day-7

Windows screenshots and Screen Recording tool free

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When to use which variable or data structure in python

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Data Structures in Python | Complete Guide

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Day-8

AI Pioneers Win Nobel Prize in Physics 2024: Revolutionizing Machine Learning and Neural Network

Mutable elements in Python

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Day-9

Range Function in python

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TWO Nobel Prizes to AI

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gitbash as default terminal in vscode

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Day-10

Maslay hal kar deay gaye hyn

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Control Flow Statements in Python

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Audience desi examples of Control Flow Statements

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If else and elif control flow statements in python

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Conditional and relational operators | nested if statements

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Assignment alert To be submitted before next class

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Questions and answer session | Zoom Meeting

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Day-11

for and while loops

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break, continue and pass statements

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Infinite loop in python | Beware of infinite loops

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Try, Except and finally statements

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Summary of control flow statements and assignment

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Day-12

Convert notebook to pdf | step by step guide with error handling (uncut version)

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Functions in Python

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Day-13

Lambda Functions in python

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user input in python

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gitbash and conda in vscode

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Day-14

Future of Data Science | A podcast with Dr. Zeeshan ul Hassan Usmani

Video - 57:50 mins

Day-15

Top nine methods of using print( ) functions in python

Video - 41:55 mins

Tip to improve communication

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Generators in Python

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Introductions to libraries in python

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Social media presence is important for data Scientist

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Day-16 (No lectures- Take Rest/Revise and enjoy the day)

Day-17

PyPI , pip and famous libraries in python

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Step-by-Step Installation of libraries in conda environments

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Day-18

Top five libraries of Python for Data Analysts

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Seventeen important python libraries, I bet you did not know before

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Day-19

AI News of October 2024

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Day-20

Newsletters to access latest AI News

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Using python libraries as professionals

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Importing, finding, writing and Saving Data in python

Video - 19:55 mins

Nine-step guide for Data Analysts and Data Scientists

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Four dimensions of Data Handling and EDA for Data Scientists and Analysts

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Day-21 (Automatics EDA-1)

pandas profiling or y-dataprofiling for automatic EDA in python

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python library for automatic exploratory data analysis for any data

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Make stunning plots for EDA | like tableau for free in python

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Day-22 (Automatic EDA-2)

Sweetviz library for EDA with complete debugging uncut

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Skimpy library, dealing with errors and installations (Practice)

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Skimpy error resolved and working fine

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lida for automatic EDA using LLM

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Day-23 (Automatic EDA-3)

Low code EDA library for python | dataprep | A-Z master guide

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Day-24 (AI-News and Automatic EDA)

Claude anthropic new model can use your computer

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Google news Categories to search for latest AI and tech news

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Lida python library for Automatic EDA using LLMs

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Free AI Models available for LLM tasks, we will see in future

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Account to make which are important for all

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Day-25 (Pandas-1)

Pandas Dataframes vs. datasets

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Reading Data for python using pandas library from clipboard

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Reading data from Excel using pandas library in python

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Reading csv and tsv files in python using pandas library

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Making dummy datasets in python using pandas library from dictionary

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Writing data into files using pandas library in python

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Assignment alert

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Advance Data Import in Pandas using Excel workbook with specific paths

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Excel vs. csv files in pandas data frame for python

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Using absolute paths in windows for data import in pandas or python

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Do not use spaces in reading files in pandas but what if?

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Web scrapping using pandas library in python for table import

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Read online .csv files using pandas python library

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Day-26 (Pandas-2)

Read tabular data in pandas

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Read data from json file in pandas python

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Elements of Pandas dataframes in python | series | df

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Subset or filter the data based on rows or columns

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Important methods for selecting subset of the dataframes in pandas python

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Selecting known data or unknown data from dataframes in pandas python

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Day-27 (Pandas-3)

Most important tasks

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Absolute vs. relative paths to files and directories in data analysis

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Day-28

loc and iloc functions for data selection in pandas pyhton library

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Day-29

Fifty plus advance pandas commands for data analysis in python

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Next Tasks for all to practice Pandas

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Day-30 (Take a break and revise your previous lessons)

Day-31: Statistics for Data Science-(Part-1)

Statistics for Data Science Crash Course

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More lectures on statistics will be coming soon

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LMS will be available for you for longer time

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Data Visualization is coming soon In Sha Allah

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Reources to read and learn Statistics

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Day-32: Statistics for Data Science-(Part-2)

Statistics for Data Science Complete Crash course

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Day-33: Statistics for Data Science-(Part-3)

Practice the previous Crash Course on Statistics

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Day-34: Statistics for Data Science- (Part-4)

Practice Crash Course on Statistics for Data Science

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Zoom Meeting Recording (Day34 Python ka chilla 2024)

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Day-35: Statistics for Data Science- (Part-5)

Practice Crash course on Statistics

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Codes are available here for statistics course

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GitHub will be coming next

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Day-36: Mathematics for Data Science and Machine Learning

Mathematics for Data Science and Machine Learning

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Day-37, 38, 39, 40: NumPy for Data Science

Meditate and relax yourself before moving forward

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Numpy for Data Science

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50 plus commands for NumPy for Data Science and Machine Learning

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Assignment and Next Tasks

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Mathematics for Data Science and Machine Learning

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Quizes

Python for Data Science Quiz

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Mathematics for Data Science Quiz

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Day-41: Data Visualization (Part-1)

Attempt these Quizzes

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Introduction to Data Visualization

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Data Visualization in python | Important Terminologies

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Stacking vs. Concatenation in NumPy

Video - 4:27 mins

Tasks before next lecture

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Day-42: Data Visualization (Part-2)

Are you completing your assignments?

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Data Visualization Theory and parts of plots

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Day-43: Data Visualization (Part-3)

Data Visualization using matplotlib and seaborn in python

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Next Task

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Day-44: Data Visualization (Part-4)

Customization for plot parts in Data Visualization

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Day-45: Data Visualization (Part-5)- Plotly Master Class-I

Plotly Master Class for Data Visualziation in Python

Video - 52:40 mins

3D Interactive plots in Plotly

Video - 8:34 mins

Amazing Plots I bet you have never seen | Plotly Python

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Day-46: Data Visualization (Part-5)- Plotly Master Class-II

Marginal Plots in plotly

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Animated Plots and saving as video files using plotly

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Multiple advance plots using plotly

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Day-47: Data Analysis and EDA complete project on real world data

Data Analysis Complete Project using World Bank Datasets

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Kaggle Guide to become a Grand Master

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Day-48: Data Visualization (Part-6)- GeoMaps using Plolty

Draw Geospatial Data Using Plotly

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Task for Students to master Bokeh and Altair

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How to upload the task on kaggle

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Day-49: Data Visualization (Part-7)- Bokeh Library

Basics of Bokeh Library for Data Visualization

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Day-50: Magic Commands Used in Python

Magic Commands %% used in Python

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Day-51: Data Gathering and Data Scrapping

Wordbank Data Gathering Library

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FAOSTAT data download using python library

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EUROSTAT data download using python

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Assignment Alert

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Yahoo Finance Stock Market Data with Python | yfinance Library Tutorial

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Day-52: Machine Learning is Next

Machine Learning is Next

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Day-53: Machine Learning (Part-1)

Machine Learning vs. AI vs. Deep Learning vs. Data Science

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Types of Machine Learning

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Day-54: Machine Learning (Part-2)

Introduction to Machine Learning with detailed examples

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Supervised Machine Learning

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Unsupervised Machine Learning

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Semi-supervised Machine Learning

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Reinforcement Learning

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Day-55: Machine Learning (Part-3)

Applications of Machine Learning in real world

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Data is important in machine learning

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Scikit learn working and machine learning

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Python for Machine Learning using Scikit learn

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Day-56: Machine Learning (Part-4)

Intermediate Machine Learning using Scikit-learn

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Regression and Classification Metrics in Machine Learning

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ML metrics for Classification and Regression Scikit-learn in Python

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Day-57: Machine Learning (Part-5)

Machine Learning Model Building to Deployment | Steps A-Z

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What is an algorithm?

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Training and Testing Data, Features, Labels and Model

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Overfitting vs. Underfitting of a model

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Day-58: Machine Learning (Part-6)

Data Pre-processing for Machine Learning

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Steps in Data Pre-processing

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Data Scaling and Normalization

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Feature Scaling vs Normalization in details

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Tips about Scaling and normalization

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Day-59: Machine Learning (Part-7)

Please complete the following lectures before going further

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Imputing Missing values using basic and advanced methods in python

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Day-60: Machine Learning (Part-8)

Regression | Simple Linear Regression | Metrics of Regression

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Logistic Regression does classification

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Regression vs. Classification metrics

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Testing Data Matters do not ignore this

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Support Vector Machines (SVM) | Machine Learning Algorithm

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Day-61: Machine Learning (Part-9)

K-Nearest Neighbours (KNN) | A machine Learning Algorithm

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Euclidean Distance in KNN machine learning

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Manhattan Distance in Machine Learning

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Minkowski Distance in Machine Learning

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Why Minkowski Distance is Important in Machine Learning?

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Hamming Distance in Machine Learning

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Algorithms you have learned so far

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Decision tree Algorithm in Machine Learning

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Elements of Decision Tree

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Entropy, gini impurity and information gain theory

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Day-62: Machine Learning (Part-10)

Ensemble Algorithms in machine learning

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Ensemble Algorithms Family

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Random Forest Algorithm

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Boosting Technique in Ensemble Methods

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Boosting Algorithms in Machine Learning

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Can boosting algorithms be better than Neural Networks

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Evaluation Metrics in Machine Learning

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Metrics to be used for Regression Tasks

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Evaluation Metrics for Classification Algorithms

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Day-63: Machine Learning (Part-11)

Complete Previous Tasks as soon as possible

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Removing Outliers in Dataset

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Data Scaling and Preprocessing

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Data Transformation

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Data Normalization

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Pipelines in Machine Learning Concept is important

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Pipelines in Python with coding

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Day-64: Machine Learning (Part-12)

What is feature encoding?

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Why do we need feature encoding?

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Feature Encoding in Python | Learn One-Hot, Label Encoding & More!

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Day-65: Machine Learning (Part-13)-Data Preprocessing Crash Course

Master Data Preprocessing, Wrangling, and Cleaning for Machine Learning Projects!

Video - 04:54:16 mins

Day-66: Machine Learning (Part-14)

Intermediate Use of sk-learn to improve the ML skills

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Day-67: Machine Learning (Part-15)

How to improve the ML model performance?

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Day-68: Machine Learning (Part-16)

Polynomial Regression

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Day-69: Machine Learning (Part-17)

Kaggle.com is an important website follow these trends now

Video - 00:09:10 mins

Ridge Regression | L2 Regularization

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Lasso Regression | GridSearch CV and RandomizedSearch CV

Video - 00:29:38 mins

Day-70: Machine Learning (Part-18)

Logistic Regression and classification metrics

Video - 00:19:14 mins

KNN (K Nearest Neighbour) Regressor and Classifier

Video - 00:12:51 mins

Day-71: Machine Learning (Part-19)

Support Vector Machines in Python for Regression and Classification

Video - 00:10:10 mins

Day-72: Machine Learning (Part-20)

Decision Trees in Python

Video - 00:15:28 mins

Random Forest Algorithms in Python for Machine Learning

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Bagging and Boosting Algorithms in Python for Machine Learning

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Day 73: Machine Learning (Part-21)

CatBoost Algorithm in Python for Classification in Machine Learning

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Naive Bayes Algorithm (Part-1)

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Types of Naive Bayes Algorithm | Naive Bayes (Part-2)

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Naive Bayes Algorithm | Python for Machine Learning

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Day 74: Machine Learning (Part-22)

Cross Validation Techniques in Python | Evaluate Machine Learning Models with Sklearn

Video - 00:12:34 mins

Hyperparameter Tuning for Machine Learning Models in Python | Sklearn

Video - 00:16:14 mins

Best Model Selection for Regression & Classification in Python | Machine Learning with Sklearn

Video - 00:18:51 mins

Important Machine Learning models to Practice using Python

Reading

Day 75: Auto Machine Learning for Best Models (Part-23)

PyCaret Tutorial for Automated Machine Learning | Simplify ML Tasks with Python

Video - 00:39:44 mins

PyCaret for Automated Regression Tasks | Complete Guide to Machine Learning with Python

Video - 00:16:48 mins

Day 76: Deep Learning Complete Courses

Deep Learning Crash Course Part-1 | Master Neural Networks & AI Fundamentals

Video - 10:36:35 mins

Deep Learning Crash Course Part-2 | Master Neural Networks & AI Fundamentals

Video - 11:33:17 mins

Day 77: Git & GitHub Tools

git & GitHub for Data Scientists and AI experts

Video - 00:47:18 mins

GPT4o-copilot | Vibe coding in VScode (Visual Studio Code)

Video - 00:09:22 mins

Day 78: Time Series Data and Data Analysis + Web scraping

Time Series Data Analysis & Forecasting using ML/DL + Web Scraping | Crash Course | Urdu/Hindi | Under 11 Hours

Video - 10:44:14 mins

GenAI and Large Language Models and RAG based apps

Generative AI and its applications

Video - 00:30:36 mins

Online Earning using GenAI tools and applications

Video - 00:26:20 mins

APIs to make tools and Applications | Application programing interface and GenAI

Video - 00:18:13 mins

GenAI vs. Agentic AI in a nutshell | Complete guide

Video - 00:13:58 mins

100+ GenAI Application Ideas to Level Up Your Portfolio

Video - 00:06:54 mins

What Are Large Language Models (LLMs) & How They Work – Explained

Video - 00:16:32 mins

LLM vs. Fine-Tuned LLM vs. RAG-based LLM – Complete Guide

Video - 00:18:38 mins

RAG (Retrieval-Augmented Generation) Explained for LLMs

Video - 00:12:12 mins

Augmented Generation for Better LLMs – RAG vs. CAG Explained

Video - 00:25:26 mins

Project Ideas to earn online using RAG and CAG bases applications and tools

Video - 00:23:36 mins

Ten Lessons for Enterprise level RAG (Retrieval Augmented Generation) based apps

Video - 00:19:14 mins

What's MCP All About? | MCP server is new buzz word in AI agents

Video - 00:25:02 mins

GPT-o3 advance reasoning model to locate someone

Video - 00:13:32 mins

VScode and Agentic AI

VScode as an IDE | Handon functions

Video - 00:43:10 mins

Why VScode is my favorite IDE for Data Science and AI workflow?

Video - 00:36:08 mins

Day 80: Summary

More lectures coming soon

Video - 00:10:43 mins

Next 10 days you can plan and revise

Video - 00:02:17 mins

Advance Course on Data Science will be coming soon

Video - 00:10:58 mins

What did you learn in this course? Zoom Meeting with Students

Video - 00:55:18 mins

Feedback from students

Video - 00:14:37 mins

Complete Projects A-Z

Basic EDA on Titanic Dataset complete project

Video - 1:07:31 mins

Coding Night for Data Science and Data Analytics Project

Video - 03:21:15 mins

Save plotly animation as video for reels and YouTube videos

Video - 00:18:20 mins

Coding Night: Live Machine Learning Masterclass in Python | Learn & Code Together!

Video - 01:54:03 mins

Portfolio building guide

Build Your AI & Data Science Portfolio

Video - 02:37:54 mins

Announcements Reviews Live Classes Gradebook Certificate Course Info

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Python Ka Chilla 2024-2025 Coding Night for Data Science and Data Analytics Project

Python Ka Chilla 2024-2025