Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
MIT License
Sections:
Steps in approaching a Machine learning problem: Below are the steps that I follow while approaching a ML problem.
Knowing one language couldn't help to work in multidomain,so its good to learn two or more languages like python
, c++
, java
. For machine learning,one should be sound in any of the language with other language basics python
, R
, matlab
, julia
.
Java
, Koltin
and Python
languages, can learn and apply in developing mini projects based on the level selected.As we know that machine(deep) learning models need high computational power, it might not be possible for an individual for purchase addtional CPUs
or GPUs
, so we use cloud platforms.
Note: In general we use Jupyter Notebook
to run our models. For Jupyter Notebook we need to install the software on local machine, for windows, linux
Note: Google Products like Colab, Kaggle are free and best platform for an individual.
Most of the courses are available in Python
language. kindly re-check before taking the course of you have any language constraints.
Note: No organisation can be seen here, kindly pick the course based on your requirement.
Machine Learning
DataScience
APIs
Artificial Intelligence
Natural Language Processing
Commputer Vision
Matlab
Note: In the below available sections if the required book/cheatsheet is not present or for more info check the more
.
Note: Few google links are getting crashing for few files, in such scenario, can direclty check more
(folder) .
Note: These Self prepared Interview Questions will be updated weekly.
Thank You for visiting the repo, hope it helped you! I would like to hear suggestions from you!!
Can reach me at :