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

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

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

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

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.

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.

It is a full stack ml app , compared multiple ml models(KNeighborsClassifier, LogisticRegression, RandomForestClassifier ) , later deploy the best model using flask , and the frontend is created with react.js

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.

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.

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

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

This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.

Predict the best classifier for the given data.

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