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

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

this project utilizes Python for the screening of resumes. It involves data cleaning, visualization, and machine learning techniques to categorize resumes into different job categories.The project achieves high accuracy using a machine learning algorithm, showcasing its effectiveness in automating the resume screening process.

Heart Disease Prediction using KNeighborsClassifier and RandomForestClassifier

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

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.

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.

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.

Predicting the churn of telecommunication custumers

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

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.

A modern GUI Based Face Recognition and Emotion Predictor using Machine Learning

This is a Smart Attendance System designed using a pre-trained model called Haar-Cascade Classifier, OpenCV and other various Dependencies to mark the attendance in a smarter way and saves the lecture time.

Implement Basic Machine Learning Algorithms from Scratch

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