Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Deep Learning; Machine Learning ; Sklearn ; Seaborn ;Matplotlib; Pycharm

Heart Disease Prediction using KNeighborsClassifier and RandomForestClassifier

A Simple Machine Learning project in which the Prediction of Heart Disease is made using KNeighborsClassifier

Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.

Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.

In this repository, I have implemented KNeighborsClassifier to classify the Breast Cancer: Malignant or Benign.

Implement Basic Machine Learning Algorithms from Scratch

This is a Machine learning project for screening of resumes based on the type of job and the content with the help of NLP techniques.

Predicting the churn of telecommunication custumers

Predict the best classifier for the given data.

In this project I intend to predict customer churn on bank data.

Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.

This is a model which predicts if a person has a heart disease or not

This is basic Machine Learning project of Iris Flower Classification

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

Learning with sklearn diabetes and iris flower dataset, single and multiple linear regression, classification with multi-layer perceptron, kneighbors and support vector machines.

Predictive analysis on Telco Churn using various ML algorithms

Document Classification using Python and scikit-learn and nltk