abhiksngh Goto Github PK

machinelearningprojects

Implementation of Supervised and Unsupervised ML algorithms.

market-toolkit

A collection of stock market resources and tools

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml_notes

mlcourse_open

OpenDataScience Machine Learning course. Both in English and Russian

msinmis

An Open source project that can help a student with their Management Information Systems course selection.

nlp_classification_model_fakenews

Using NLP and Classification Models to distinguish between fake news and absurd news.

ourmine

Automatically exported from code.google.com/p/ourmine

post-tuto-deployment

Repo pour le blog post avec Ahmed

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

python

All Algorithms implemented in Python

python-ds

My Excercises

python-for-data-science-and-machine-learning-bootcamp

python3-in-one-pic

Learn python3 in one picture.

python_data_science_and_machine_learning_bootcamp

Jupyter notebook for Udemy course: Python data science and machine learning bootcamp

python_notes

pythonpractice

Python excercises

shap

A game theoretic approach to explain the output of any machine learning model.

sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

spark-and-python-for-big-data-with-pyspark

Course on Udemy by Jose Portilla

streamlit

Streamlit — The fastest way to build custom ML tools

streamlit-python-apps

streamlit_datascience_apps

Streamlit Data Science and ML Apps in Python

streamlit_demo

Demo App

tictactoe

A dirty implementation of tic tac toe! in Python

timeseries

udacity-datascience-nanodegree

Udacity Data Science Nanodegree Repository. Contains lecture notes, and dummy scripts as well as projects undertaken for the nanodegree.

your-first-kaggle-submission

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.