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Francis Ochieng's Projects

board-game-prediction icon board-game-prediction

This is Notebook tries to predict the user reviews in Board Games using Linear and Non-Linear Regression Models, Specifically, Linear Regression Model and Random Forest Regressor Models.

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

coronavirus_visualization_and_prediction icon coronavirus_visualization_and_prediction

This repository tracks the spread of the novel coronavirus, also known as SARS-CoV-2. It is a contagious respiratory virus that first started in Wuhan in December 2019. On 2/11/2020, the disease is officially named COVID-19 by the World Health Organization.

covid_19-viz-as-04-04-20 icon covid_19-viz-as-04-04-20

This is a simple visualization of the confirmed corona cases and how they spread in Eastern Africa and also at a Global level.

credit-fraud-detection icon credit-fraud-detection

In this notebook I have used two algotrithm to solve this classification Problem in orderto perform anomaly detection on the Dataset: 1. Isolation Forest Algorithm 2. Local Outlier Factor Algorithm

data-scientist-s-starter-park icon data-scientist-s-starter-park

One of the most important tools in a Data Scientist’s Starter Pack is Pandas package, there is not limit to what this package can do when it comes to Data Manipulation. This notebook breaks down the in and outs of Data Wrangling, use of Pivot Tables and basic Visualization Techniques using Matplotlib

datasets icon datasets

Datasets used in Plotly examples and documentation

fileorganizer icon fileorganizer

This is a python script that automatically saves documents/files to a folder of your choice without having to do it Manually.

flight-price-predictor icon flight-price-predictor

This Project uses Random Forest Regressor to predict the cost of Flights across Multiple cities in India.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

instacart_eda icon instacart_eda

This notebook is a simple exploration of the consumers buying habits in an online store-"insta-Cart". By understanding the purchasing behavior of the clients through the orders, the online retailer is able to predict which products are likely to go into the cart next.

knn_movierecommender icon knn_movierecommender

This is a code for a movies recommendation system that uses the algorithm K-nearest neighbor to recommend movies.

ml-course-notes icon ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

online_pharmaceutical-sentiment-reviews icon online_pharmaceutical-sentiment-reviews

This notebook is to predict the sentiment of the drug users, according to reiews and various other features like the condition they are suffering from, the rating of the drugs used, data of the usage and others.

practical-machine-learning-with-python icon practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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