Mathematics for Data Science and Machine Learning

Course Content

Why Should You enroll?

0/3

What is Python ka Chilla 2024?

10:16

Python seekh len Python ka Chilla is back #pythonkachilla

06:24

Enroll in LMS of Python ka Chilla 2024-25

05:52

Resources for the Course

0/2

Books for the course

00:00

GitHub Repository for the course

00:00

Day-1

0/9

Course content in this course

05:50

Registration is still open

Important Rules for the course

06:05

Turn on Video during meetings

01:36

What is Python?

03:23

LMS (Learning Management System) for the course

09:26

Zoom Meeting Questions and Answers

27:26

Day-2

0/5

Installing different software to use Python for Data Science

12:43

VScode profile, extensions and themes for Python

06:31

Files and Folders management in VScode

09:36

GitBash and miniconda | Integration | Solutions

07:35

miniConda | Environments and Installations | A complete Guide

22:06

Day-3

0/9

What we have learned so far and updates about the course

06:34

Python for Data Science and popularity of python

14:22

Important Logins to make for Python for Data Science

13:09

Access GitHub student or teacher developer pack

00:55

Naming conventions and rules for Python for Data Scientists

16:20

Ads in videos and Website

00:59

Jupyter notebooks | .ipynb vs. .py files

13:27

Jupyter Notebooks or .ipynb files for Data Scientists

07:31

MarkDown Language in 72 Minutes

01:11:23

Day-4

0/4

Variables in Python

19:38

Types of Variables in Python

23:47

Type casting in Python (1/2)

23:41

Type Casting in Python (2/2)

09:03

Day-5

0/4

Commenting in Python is important

04:58

git bash in vscode and conda in gitbash

03:44

Screen-casting mode in VSCode to show keyboard

02:29

Debugging is an art you need to learn

06:45

Day-6

0/5

Google Your Errors and Answers to most common errors

10:00

Alternatives to GitHub copilots for VScode | Blackbox and codeium

03:05

Activating GitHub copilot while in the university

01:17

Do not share any link to anyone Plzzzzzzz

00:58

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

01:11:42

Day-7

0/3

Windows screenshots and Screen Recording tool free

03:49

When to use which variable or data structure in python

10:49

Data Structures in Python | Complete Guide

35:50

Day-8

0/5

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

Mutable elements in Python

06:04

Day-9

0/3

Range Function in python

02:25

TWO Nobel Prizes to AI

19:06

gitbash as default terminal in vscode

01:44

Day-10

0/7

Maslay hal kar deay gaye hyn

03:54

Control Flow Statements in Python

20:06

Audience desi examples of Control Flow Statements

03:08

If else and elif control flow statements in python

17:35

Conditional and relational operators | nested if statements

21:56

Assignment alert To be submitted before next class

01:03

Questions and answer session | Zoom Meeting

05:07

Day-11

0/5

for and while loops

15:15

break, continue and pass statements

08:45

Infinite loop in python | Beware of infinite loops

10:00

Try, Except and finally statements

05:16

Summary of control flow statements and assignment

02:34

Day-12

0/2

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

23:29

Functions in Python

26:22

Day-13

0/3

Lambda Functions in python

22:32

user input in python

24:31

gitbash and conda in vscode

01:43

Day-14

0/1

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

57:50

Day-15

0/5

Top nine methods of using print( ) functions in python

41:55

Tip to improve communication

01:24

Generators in Python

13:34

Introductions to libraries in python

22:11

Social media presence is important for data Scientist

06:12

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

Day-17

0/2

PyPI , pip and famous libraries in python

04:25

Step-by-Step Installation of libraries in conda environments

16:33

Day-18

0/2

Top five libraries of Python for Data Analysts

08:17

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

11:12

Day-19

0/1

AI News of October 2024

07:25

Day-20

0/5

Newsletters to access latest AI News

05:26

Using python libraries as professionals

16:34

Importing, finding, writing and Saving Data in python

19:55

Nine-step guide for Data Analysts and Data Scientists

20:17

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

15:43

Day-21 (Automatics EDA-1)

0/3

pandas profiling or y-dataprofiling for automatic EDA in python

20:50

python library for automatic exploratory data analysis for any data

14:03

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

11:29

Day-22 (Automatic EDA-2)

0/4

Sweetviz library for EDA with complete debugging uncut

36:01

Skimpy library, dealing with errors and installations (Practice)

22:43

Skimpy error resolved and working fine

04:29

lida for automatic EDA using LLM

09:54

Day-23 (Automatic EDA-3)

0/1

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

09:42

Day-24 (AI-News and Automatic EDA)

0/5

Claude anthropic new model can use your computer

03:53

Google news Categories to search for latest AI and tech news

03:22

Lida python library for Automatic EDA using LLMs

20:23

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

04:27

Account to make which are important for all

01:22

Day-25 (Pandas-1)

0/13

Pandas Dataframes vs. datasets

14:16

Reading Data for python using pandas library from clipboard

06:24

Reading data from Excel using pandas library in python

06:41

Reading csv and tsv files in python using pandas library

12:08

Making dummy datasets in python using pandas library from dictionary

03:44

Writing data into files using pandas library in python

05:16

Assignment alert

02:05

Advance Data Import in Pandas using Excel workbook with specific paths

06:24

Excel vs. csv files in pandas data frame for python

04:59

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

03:19

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

02:06

Web scrapping using pandas library in python for table import

06:39

Read online .csv files using pandas python library

05:38

Day-26 (Pandas-2)

0/6

Read tabular data in pandas

03:41

Read data from json file in pandas python

01:17

Elements of Pandas dataframes in python | series | df

04:19

Subset or filter the data based on rows or columns

15:38

Important methods for selecting subset of the dataframes in pandas python

03:29

Selecting known data or unknown data from dataframes in pandas python

02:24

Day-27 (Pandas-3)

0/2

Most important tasks

01:53

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

05:30

Day-28

0/1

loc and iloc functions for data selection in pandas pyhton library

15:48

Day-29

0/2

Fifty plus advance pandas commands for data analysis in python

01:17:07

Next Tasks for all to practice Pandas

03:00

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

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

0/5

Statistics for Data Science Crash Course

01:05:18

More lectures on statistics will be coming soon

00:46

LMS will be available for you for longer time

02:12

Data Visualization is coming soon In Sha Allah

02:16

Reources to read and learn Statistics

00:00

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

0/1

Statistics for Data Science Complete Crash course

14:15:35

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

0/1

Practice the previous Crash Course on Statistics

00:00

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

0/2

Practice Crash Course on Statistics for Data Science

00:00

Zoom Meeting Recording (Day34 Python ka chilla 2024)

12:15

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

0/3

Practice Crash course on Statistics

00:00

Codes are available here for statistics course

01:51

GitHub will be coming next

00:31

Day-36: Mathematics for Data Science and Machine Learning

0/1

Mathematics for Data Science and Machine Learning

15:15:51

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

0/5

Meditate and relax yourself before moving forward

03:41

Numpy for Data Science

34:58

50 plus commands for NumPy for Data Science and Machine Learning

57:35

Assignment and Next Tasks

01:47

Mathematics for Data Science and Machine Learning

00:00

Quizes

0/2

Python for Data Science Quiz

00:00

Mathematics for Data Science Quiz

00:00

Day-41: Data Visualization (Part-1)

0/5

Attempt these Quizzes

02:28

Introduction to Data Visualization

10:41

Data Visualization in python | Important Terminologies

01:04:41

Stacking vs. Concatenation in NumPy

04:27

Tasks before next lecture

00:56

Day-42: Data Visualization (Part-2)

0/2

Are you completing your assignments?

00:46

Data Visualization Theory and parts of plots

01:00:21

Day-43: Data Visualization (Part-3)

0/2

Data Visualization using matplotlib and seaborn in python

01:07:33

Next Task

00:33

Day-44: Data Visualization (Part-4)

0/1

Customization for plot parts in Data Visualization

19:28

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

0/3

Plotly Master Class for Data Visualziation in Python

52:40

3D Interactive plots in Plotly

08:34

Amazing Plots I bet you have never seen | Plotly Python

29:47

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

0/3

Marginal Plots in plotly

07:15

Animated Plots and saving as video files using plotly

17:10

Multiple advance plots using plotly

11:02

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

0/2

Data Analysis Complete Project using World Bank Datasets

02:01:21

Kaggle Guide to become a Grand Master

38:44

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

0/3

Draw Geospatial Data Using Plotly

34:27

Task for Students to master Bokeh and Altair

04:40

How to upload the task on kaggle

00:34

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

0/1

Basics of Bokeh Library for Data Visualization

24:44

Day-50: Magic Commands Used in Python

0/1

Magic Commands %% used in Python

26:52

Day-51: Data Gathering and Data Scrapping

0/4

Wordbank Data Gathering Library

20:16

FAOSTAT data download using python library

17:48

EUROSTAT data download using python

19:13

Assignment Alert

00:59

Day-52: Machine Learning is Next

0/1

Machine Learning is Next

00:41

Complete Projects A-Z

0/3

Basic EDA on Titanic Dataset complete project

01:07:31

Coding Night for Data Science and Data Analytics Project

03:21:15

Save plotly animation as video for reels and YouTube videos

18:20

Python Ka Chilla 2024

0% Complete