This repository includes all the udacity deep learning project that i have worked on while i was taking this course

Project for Deep Learning Nanodegree, unit 4 (Recurrent Neural Networks).

Practice Recurrent Neural Network using Keras.

A CNN model to identify images of plant seedlings.

Bloc 3 : Analyse prédictive de données structurées par l'intelligence artificielle

This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.

The use of Machine Learning Regression models for predicting energy loads of buldings.

study of hyperparameter tuning methods

Given Midi music files, predict the artist. (+ project presentation)

Model to Predict if a customer will purchase a Travel Package

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

Determine concrete compressive strength

Identify whether a person is going to recover from coronavirus and its done using ML classifiers from Sklearn

Gauging how Support Vector Machine Algorithm behaves with Hyperparameter Tuning

Final Group Project for Advanced Data Science for Public Policy @ McCourt

Flight price Prediction is made using decision tree model and Machine learning concepts

This repository focuses on the Neural Networks and deep learning. It is a workbook you can refer it for a reference. I'll Include following content here: Neurons, perceptrons, weight and biases, learning rate, activation form, hyper parameters, RNN, CNN and other popular concepts.

Feature Engineering, Cross Validation, ROC, AUC, Pipeline, Model Tuning, Hyper Parameter Tuning, Grid Search

This project aims to develop a machine learning model using different datasets dynamically and with minimal code repetition. It includes data preprocessing, model selection and evaluation, as well as the Streamlit web application for interactive exploration.

Bayesian optimization using Gaussian Process regression (Python)