I am working as data scientist. I took various machine learning courses from a different resource available on the net. And also read a couple of books. I also made notes of the concept and so that it help to revisit those concepts.
I first started my journey in data science from Besant Technologies Bangalore (India). It is a very comprehensive course about the statistics and probability, exploratory data analysis, machine learning and R program. Later I come across a few books by written Hardley Wickhom. It is fascinating to read Hardley's book, the author of many great packages such as ggplot,dplyr and tidyverse in R.
| Course/Book Name | Link | Repository |
|---|---|---|
| R for Data Science | bookdown | git |
Here is few resource for learning python.
| Course Name | Link | Repository | Notes |
|---|---|---|---|
| Complete Python Bootcamp: Go from zero to hero in Python | Udemy | github | notes |
| Python for Data Structures, Algorithms | Udemy | github | notes |
Various Youtube resouses
| Course Name | Link | Tutor | Notes |
|---|---|---|---|
| Python OOP Tutorial | youtube | Corey Schafer | NA |
| Flask Workshop - PyCon 2015 | youtube | Miguel Grinberg | git |
| Demystifying the Patch Function - PyCon 2018 | youtube | Lisa Roach | NA |
| Unit Tests and Test Doubles like Mocks, Stubs & Fakes | youtube | CodesBay | git |
| Interesting Topics of Modern Python Programming | youtube | CodesBay | git |
Here is few resource for learning machine learning.
| Course Name | Link | Repository | Notes |
|---|---|---|---|
| Machine Learning by Andrew Ng | coursera | NA | NA |
| Python for Data Science and Machine Learning Bootcamp | Udemy | NA | notes |
| Machine Learning A-Z™: Hands-On Python & R In Data Science | Udemy | drive | notes |
| Hands-on Machine Learning with Scikit-Learn and TensorFlow by Aurélien Geron | oreilly | git | notes |
Various youtube resource
| Course Name | Link | Tutor | Notes |
|---|---|---|---|
| Machine Learning at University Birtish Columbia CPSC-340 | youtube | Nando de Freitas | notes |
| Machine Learning at University Birtish Columbia CPSC-540 | youtube | Nando de Freitas | notes |
| Time Series Analysis with Python Intermediate | youtube | Aileen Nielsen | git |
| Applied Time Series Econometrics in Python and R | youtube | Jeffrey Yau | git |
Here is few resource for learning deep learning.
| Course Name | Link | Repository | Notes |
|---|---|---|---|
| Deep Learning A-Z™: Hands-On Artificial Neural Networks | Udemy | super ds | notes |
| Introduction To Machine Learning by Duke University | coursera certificate | NA | notes |
| Practical Deep Learning with PyTorch | udemy | NA | NA |
| Complete Guide to TensorFlow for Deep Learning with Python | udemy | NA | NA |
| PyTorch 101: An Applied Tutorial | youtube | NA | NA |
| Deep Learning With PyTorch - Full Course | youtube | git-python-engineer | NA |
| Course/Book Name | Link | Repository |
|---|---|---|
| Statistics 110: Probability, Harvard University by Joe Blitzstein | youtube | Harvard |
| Think stats2 | green tea press | git |
| Think bayes2 | green tea press | git |
| Statistics Probability | khan academy | Na |
| jb statistics | youtube | jbstatistics |
| Computational Statistics -SciPy 2017 by Allen Downey | youtube | git |
| Bayesian Statistics Made Simple -Scipy 2019 by Allen Downey | youtube | git |
| Course Name | Link | Repository | Notes |
|---|---|---|---|
| The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert | Udemy | NA | NA |
| MongoDB with Python Crash Course | youtube | talkpython | NA |
| SQL Tutorial - Window Functions | youtube | NA | NA |
| MASTER CODING FOR DATA SCIENCE | youtube | stratascratch | QnA |