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practicing-ml-algorithms-

This repository has examples of Google Colab Notebooks where I practice using machine learning algorithms.

predict-crime-rate-in-chicago

Predicting the Crime Rate in Chicago using Facebook's Open Source Software "Prophet".

predicting-house-prices-machine-learning

This as a machine learning analysis that I performed to predict a house listing price based on the homes features. Here I experimented using XGboostregressor, RandomforestRegressor, and GradientBoostingRegressor.

reinforcement-learning

Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

reinforcementlearningcourse

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

sklearn-audio-classification

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

spark

Apache Spark - A unified analytics engine for large-scale data processing

spy-plane-project

Plane features and flight patterns were determined to see if a machine learning algorithm could predict whether or not a plane could be classified as a spy ("survelience") plane or "other".

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

targeted-marketing-project

Identifying those customers most likely to subscribe to a term deposit using the decision tree classifier method.

tello-udemy-class

tello_edu_drone_object_detection

using-ann-to-predict-bike-rentals

I implemented an ANN that predicts the number of rentals per day by season for a bike rental company.

ylearn

YLearn, a pun of "learn why", is a python package for causal inference

yolov3