Python for Data Science and Machine Learning beginners
A Complete Machine learning Bootcamp learn Numpy, Pandas, Matplotlib, Stats, Plotly , EDA , Scikit-learn and more!
Implement Machine Learning Algorithms
Use python for Data science and Machine Learning
Use Numpy and multidimensional array operations
Do exploratory Data analysis with pandas profiling
Create complex visualization with matplotlib and plotly
Use Scikit-learn for Machine Learning Task
Linear Regression
Random Forest and Decision Tree
Statistics For Data Science and Machine Learning
Hi all Its Jay I am a data scientist by profession and Instructor by passion I have around 4 years of experience as data scientist, I started my career as analyst as gradually moved to data scientist hence I can understand what are programming prerequisites for data scientist. This course is created for absolute beginners of data science and machine learning. It covers all aspect of python languages required in data science machine learning and deep learning.
Introduction to python
1
Course Promo
2
Thank You
3
How to get 100% from this course
Setting up environment and jupyter notebook
1
Python Environment setup
Module -2 python Arithmetic operations
1
Terminology Alert
2
Arithmetic Operators in python
You can start working on basic operations adding up all notebook in resources
3
Student Community
module 3- python basics list string dictionary
1
Module Intro
2
Terminology Alert
3
Python-Strings
4
Terminology Alert
5
Python-list
6
Python-Dictionary
Numpy -Array Attributes
1
Module Intro
Numpy Module Intro
2
Terminology Alert
3
Numpy-Basic array operations
4
Matrix operations in numpy
5
Terminology Alert
6
Numpy-Random-Numbers
7
Terminology Alert
8
Numpy-advanced
Pandas
1
Module Intro
2
Pandas part1
3
pandas part 2
The excel file I have used in this lecture is added in resources
4
pandas part 3
5
pandas part4
Matplotlib- Introduction
1
Matplotlib-Introduction
In this video I have explained matplotlib basics
2
matplotlib1.1
3
Matplotlib 1.2
4
Matplotlib1.3
5
Pandas with matplotlib
6
Matplotlib advanced Exercise
checkout the code and the data used in this lecture in resources
Introduction to Data Science
1
Introduction to Data Science
2
Data Science with python Part 1
3
Data Science with python Part 2
4
Data Science with python Part 3
5
Data Science with python Part 4
6
Data Exploration Part 1
7
Data Exploration Part 2
8
Data Exploration Part 3
9
T-Test
10
T-test in python
11
Z-Test
12
Chi-Square Test
13
Bivariate Exploration 1
14
Bivariate Exploration 2
15
Bivariate Exploration 2
16
Modelling basics
17
what is linear regression
18
Gradient Descent with linear regression
Create simple machine learning models with sklearn
1
sklearn Intro
2
sklearn part 1
3
Sklearn part 2
Flight Delay Prediction with real world data
1
Flight Delay Prediction Introduction
2
Flight Delay Prediction Data Pre-processing
3
Flight Delay Prediction Feature Generation
4
Flight Delay Prediction with Random Forest
5
Flight Delay Prediction final
Anaconda environment and conda cheat sheet
1
Optional: Anaconda Virtual Environments
Bonus Lectures
1
Playing with python codes
2
Creating dashboards
3
creating charts with python
4
Live video Transformation with python
5
Data Science Interview Questions
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Community
- Connect
- Jobs
- Events
- Forums
- Groups
For Professionals
- List Item #1
- List Item #2
- List Item #3
For Businesses
- List Item #1
- List Item #2
- List Item #3
Partnership Opportunities
- Sponsorships
- Advertise with us
- List your Business
- List your Event
- List your Course