The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.

Classify the Size Categorie using SVM - the burned area of the forest (Small, Large) and Prepare a classification model using SVM for salary data.

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.

Know-Genius an AI Chatbot who's a General Knowledge Genius!

this repo will include all my work regarding NLP

My Project on Breast Cancer Prediction using a Logistic Regression Model. In this project, I developed a predictive model to assist in breast cancer risk based on various input features. This work has strengthened my understanding of machine learning and data analysis techniques. Feel free to explore the code and insights!

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

Anticipation des besoins en consommation électrique de bâtiments (OpenClassrooms | Data Scientist | Projet 4)

A collection of Deep Learning And AI projects using Tensorflow and Keras

HAM10000 Skin Lesion Classification

Classifying the person as male or female based on hairs, forehead size, nose shape, lips shapes, ect. using ML models

ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images

Recommendation-Engine

This is a python project for building a linear regression model that is used to predict used car prices from a given dataset using machine learning.

SKLEARN-Credit Risk Prediction Using Logistic Regression Model, ML, Confusion Matrix, classification Report