Anti Spam Filter, a spam filter 🗃️ which uses a model made out of MultinomialNB algorithm 👈 from scikit-learn 🐍 to classify spam and complaints.
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Updated
Mar 31, 2018 - Jupyter Notebook
Anti Spam Filter, a spam filter 🗃️ which uses a model made out of MultinomialNB algorithm 👈 from scikit-learn 🐍 to classify spam and complaints.
Uses machine learning to predict provided user data into bot or human. Part of TweeBotD project
A GitHub WebCrawler
A bot designed to answer live trivia game questions.
House price prediction using linear regression
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
Basic ML using Sklearn to save/load a model, split training & test dataset, create dummy variables and one hot encoder
Predict the Winning Horse with Supervised Learning (Lucky to have 100% accuracy on small test data)
Scripts to train and evaluate regression machine learning algorithms on PUBG data-set.
Machine Learning Project for recommendations of music genre based on age and gender
knn_model is used for the Classification of tumor as malignant or benign.
A credit card fraud detection kernel
A Regression Model that predicts a fish's weight based on its specie, length, width & height.
🎃Kaggle-Comptetion-Titanic-Dataset(Codeperfectplus)🏆
Kaggle Notebook for model :
Processing NASA Kepler space telescope data through machine learning models capable of classifying candidate exoplanets from the raw dataset.
This is a machine learning project which implements three different types of regression techniques and formulates differences amongst them by predicting the price of a house based on Boston housing Data.
Digit recognizer with our own dataset
A streamlit app to predict financial inclusion in Africa.
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