Class Timings - Codanics

Course Content

Why Should You enroll?

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What is Python ka Chilla 2024?

Python seekh len Python ka Chilla is back #pythonkachilla

Enroll in LMS of Python ka Chilla 2024-25

Resources for the Course

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Books for the course

GitHub Repository for the course

Day-1

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Course content in this course

Registration is still open

Know your instructor

Important Rules for the course

Turn on Video during meetings

What is Python?

LMS (Learning Management System) for the course

Zoom Meeting Questions and Answers

Day-2

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Installing different software to use Python for Data Science

VScode profile, extensions and themes for Python

Files and Folders management in VScode

GitBash and miniconda | Integration | Solutions

miniConda | Environments and Installations | A complete Guide

Day-3

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What we have learned so far and updates about the course

Python for Data Science and popularity of python

Important Logins to make for Python for Data Science

Access GitHub student or teacher developer pack

Naming conventions and rules for Python for Data Scientists

Ads in videos and Website

Jupyter notebooks | .ipynb vs. .py files

Jupyter Notebooks or .ipynb files for Data Scientists

MarkDown Language in 72 Minutes

Day-4

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Variables in Python

Types of Variables in Python

Type casting in Python (1/2)

Type Casting in Python (2/2)

Day-5

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Commenting in Python is important

git bash in vscode and conda in gitbash

Screen-casting mode in VSCode to show keyboard

Debugging is an art you need to learn

Day-6

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Google Your Errors and Answers to most common errors

Alternatives to GitHub copilots for VScode | Blackbox and codeium

Activating GitHub copilot while in the university

Do not share any link to anyone Plzzzzzzz

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

Day-7

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Windows screenshots and Screen Recording tool free

When to use which variable or data structure in python

Data Structures in Python | Complete Guide

Day-8

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

Sequences in python

Indexing in Python

Slicing in Python

Mutable elements in Python

Day-9

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Range Function in python

TWO Nobel Prizes to AI

gitbash as default terminal in vscode

Day-10

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Maslay hal kar deay gaye hyn

Control Flow Statements in Python

Audience desi examples of Control Flow Statements

If else and elif control flow statements in python

Conditional and relational operators | nested if statements

Assignment alert To be submitted before next class

Questions and answer session | Zoom Meeting

Day-11

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for and while loops

break, continue and pass statements

Infinite loop in python | Beware of infinite loops

Try, Except and finally statements

Summary of control flow statements and assignment

Day-12

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

Functions in Python

Day-13

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Lambda Functions in python

user input in python

gitbash and conda in vscode

Day-14

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

Day-15

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Top nine methods of using print( ) functions in python

Tip to improve communication

Generators in Python

Introductions to libraries in python

Social media presence is important for data Scientist

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

Day-17

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PyPI , pip and famous libraries in python

Step-by-Step Installation of libraries in conda environments

Day-18

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Top five libraries of Python for Data Analysts

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

Day-19

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AI News of October 2024

Day-20

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Newsletters to access latest AI News

Using python libraries as professionals

Importing, finding, writing and Saving Data in python

Nine-step guide for Data Analysts and Data Scientists

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

Day-21 (Automatics EDA-1)

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pandas profiling or y-dataprofiling for automatic EDA in python

python library for automatic exploratory data analysis for any data

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

Day-22 (Automatic EDA-2)

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Sweetviz library for EDA with complete debugging uncut

Skimpy library, dealing with errors and installations (Practice)

Skimpy error resolved and working fine

lida for automatic EDA using LLM

Day-23 (Automatic EDA-3)

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

Day-24 (AI-News and Automatic EDA)

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Claude anthropic new model can use your computer

Google news Categories to search for latest AI and tech news

Lida python library for Automatic EDA using LLMs

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

Account to make which are important for all

Day-25 (Pandas-1)

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Pandas Dataframes vs. datasets

Reading Data for python using pandas library from clipboard

Reading data from Excel using pandas library in python

Reading csv and tsv files in python using pandas library

Making dummy datasets in python using pandas library from dictionary

Writing data into files using pandas library in python

Assignment alert

Advance Data Import in Pandas using Excel workbook with specific paths

Excel vs. csv files in pandas data frame for python

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

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

Web scrapping using pandas library in python for table import

Read online .csv files using pandas python library

Day-26 (Pandas-2)

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Read tabular data in pandas

Read data from json file in pandas python

Elements of Pandas dataframes in python | series | df

Subset or filter the data based on rows or columns

Important methods for selecting subset of the dataframes in pandas python

Selecting known data or unknown data from dataframes in pandas python

Day-27 (Pandas-3)

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Most important tasks

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

Day-28

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loc and iloc functions for data selection in pandas pyhton library

Day-29

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Fifty plus advance pandas commands for data analysis in python

Next Tasks for all to practice Pandas

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

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

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Statistics for Data Science Crash Course

More lectures on statistics will be coming soon

LMS will be available for you for longer time

Data Visualization is coming soon In Sha Allah

Reources to read and learn Statistics

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

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Statistics for Data Science Complete Crash course

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

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Practice the previous Crash Course on Statistics

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

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Practice Crash Course on Statistics for Data Science

Zoom Meeting Recording (Day34 Python ka chilla 2024)

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

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Practice Crash course on Statistics

Codes are available here for statistics course

GitHub will be coming next

Day-36: Mathematics for Data Science and Machine Learning

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Mathematics for Data Science and Machine Learning

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

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Meditate and relax yourself before moving forward

Numpy for Data Science

50 plus commands for NumPy for Data Science and Machine Learning

Assignment and Next Tasks

Mathematics for Data Science and Machine Learning

Quizes

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Python for Data Science Quiz

Mathematics for Data Science Quiz

Day-41: Data Visualization (Part-1)

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Attempt these Quizzes

Introduction to Data Visualization

Data Visualization in python | Important Terminologies

Stacking vs. Concatenation in NumPy

Tasks before next lecture

Day-42: Data Visualization (Part-2)

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Are you completing your assignments?

Data Visualization Theory and parts of plots

Day-43: Data Visualization (Part-3)

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Data Visualization using matplotlib and seaborn in python

Day-44: Data Visualization (Part-4)

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Customization for plot parts in Data Visualization

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

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Plotly Master Class for Data Visualziation in Python

3D Interactive plots in Plotly

Amazing Plots I bet you have never seen | Plotly Python

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

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Marginal Plots in plotly

Animated Plots and saving as video files using plotly

Multiple advance plots using plotly

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

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Data Analysis Complete Project using World Bank Datasets

Kaggle Guide to become a Grand Master

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

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Draw Geospatial Data Using Plotly

Task for Students to master Bokeh and Altair

How to upload the task on kaggle

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

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Basics of Bokeh Library for Data Visualization

Day-50: Magic Commands Used in Python

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Magic Commands %% used in Python

Day-51: Data Gathering and Data Scrapping

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Wordbank Data Gathering Library

FAOSTAT data download using python library

EUROSTAT data download using python

Assignment Alert

Yahoo Finance Stock Market Data with Python | yfinance Library Tutorial

Day-52: Machine Learning is Next

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Machine Learning is Next

Day-53: Machine Learning (Part-1)

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

Types of Machine Learning

Day-54: Machine Learning (Part-2)

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Introduction to Machine Learning with detailed examples

Supervised Machine Learning

Unsupervised Machine Learning

Semi-supervised Machine Learning

Reinforcement Learning

Day-55: Machine Learning (Part-3)

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Applications of Machine Learning in real world

Data is important in machine learning

Scikit learn working and machine learning

Python for Machine Learning using Scikit learn

Day-56: Machine Learning (Part-4)

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Intermediate Machine Learning using Scikit-learn

Regression and Classification Metrics in Machine Learning

ML metrics for Classification and Regression Scikit-learn in Python

Day-57: Machine Learning (Part-5)

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Machine Learning Model Building to Deployment | Steps A-Z

What is an algorithm?

Training and Testing Data, Features, Labels and Model

Overfitting vs. Underfitting of a model

Day-58: Machine Learning (Part-6)

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Data Pre-processing for Machine Learning

Steps in Data Pre-processing

Data Scaling and Normalization

Feature Scaling vs Normalization in details

Tips about Scaling and normalization

Day-59: Machine Learning (Part-7)

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Please complete the following lectures before going further

Imputing Missing values using basic and advanced methods in python

Day-60: Machine Learning (Part-8)

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Regression | Simple Linear Regression | Metrics of Regression

Logistic Regression does classification

Regression vs. Classification metrics

Testing Data Matters do not ignore this

Support Vector Machines (SVM) | Machine Learning Algorithm

Day-61: Machine Learning (Part-9)

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

Euclidean Distance in KNN machine learning

Manhattan Distance in Machine Learning

Minkowski Distance in Machine Learning

Why Minkowski Distance is Important in Machine Learning?

Hamming Distance in Machine Learning

Algorithms you have learned so far

Decision tree Algorithm in Machine Learning

Elements of Decision Tree

Entropy, gini impurity and information gain theory

Day-62: Machine Learning (Part-10)

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Ensemble Algorithms in machine learning

Ensemble Algorithms Family

Random Forest Algorithm

Boosting Technique in Ensemble Methods

Boosting Algorithms in Machine Learning

Can boosting algorithms be better than Neural Networks

Evaluation Metrics in Machine Learning

Metrics to be used for Regression Tasks

Evaluation Metrics for Classification Algorithms

Day-63: Machine Learning (Part-11)

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Complete Previous Tasks as soon as possible

Removing Outliers in Dataset

Data Scaling and Preprocessing

Data Transformation

Data Normalization

Pipelines in Machine Learning Concept is important

Pipelines in Python with coding

Day-64: Machine Learning (Part-12)

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What is feature encoding?

Why do we need feature encoding?

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

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

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

Day-66: Machine Learning (Part-14)

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Intermediate Use of sk-learn to improve the ML skills

Day-67: Machine Learning (Part-15)

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How to improve the ML model performance?

Day-68: Machine Learning (Part-16)

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Polynomial Regression

Day-69: Machine Learning (Part-17)

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Kaggle.com is an important website follow these trends now

Ridge Regression | L2 Regularization

Lasso Regression | GridSearch CV and RandomizedSearch CV

Day-70: Machine Learning (Part-18)

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Logistic Regression and classification metrics

KNN (K Nearest Neighbour) Regressor and Classifier

Day-71: Machine Learning (Part-19)

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Support Vector Machines in Python for Regression and Classification

Day-72: Machine Learning (Part-20)

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Decision Trees in Python

Random Forest Algorithms in Python for Machine Learning

Bagging and Boosting Algorithms in Python for Machine Learning

Day 73: Machine Learning (Part-21)

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CatBoost Algorithm in Python for Classification in Machine Learning

Naive Bayes Algorithm (Part-1)

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

Naive Bayes Algorithm | Python for Machine Learning

Complete Projects A-Z

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Basic EDA on Titanic Dataset complete project

Coding Night for Data Science and Data Analytics Project

Save plotly animation as video for reels and YouTube videos

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

Day 74: Machine Learning (Part-22)

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

Hyperparameter Tuning for Machine Learning Models in Python | Sklearn

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

Important Machine Learning models to Practice using Python

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

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

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

Python Ka Chilla 2024

About Lesson

Note: These class timings are only from 01.10.2024-20.12.2024

If you registered later or viewing this course later, please learn at your own pace in LMS.

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