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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

cortana-intelligence-price-optimization

Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough

covid-19-visualization-project

You can find all the source codes for my COVID-19 data visualization project from this repo.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

fastbook

Draft of the fastai book

featuretools

An open source python framework for automated feature engineering

game_control

go

The Open Source Data Science Masters

learn_computer_vision

This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube

make-sense

Free to use online tool for labelling photos. https://makesense.ai

market-mix-modeling

Market Mix Modeling for an eCommerce firm to estimate the impact of various marketing levers on sales

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

mmm

A complete end to end Market Mix Model. Furthermore created an API and successfully tested on postman. Ready to deploy model to any data, with the only change in config file( complete API works as a black box for the user requiring no knowledge of coding). Includes the wiki page for more detailed explanation

moving_charts_videos_with_python

Here I have tried to make moving charts videos using some python libraries its entirely developed by me, you can use edit explore innovate without any permission. Enjoy

power-bi-training

power-bi-training---mas-holdings

price-optimization-shiny

Shiny app for Price Optimization using prophet and lme4 libraries for R.

python

:snake: Python Programs

retail-forecasting-optimal-pricing

End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)

retail_price_analytics

som-anomaly-detector

Implementation of Kohonen SOM for anomaly detection purposes.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpredictor

Stock market prediction using LSTM

stylegan2

StyleGAN2 - Official TensorFlow Implementation

tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows