This project involves predicting phishing URLs by extracting 17 features across three categories. It entails training and testing machine learning models using a dataset sourced from Phishtank.

This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.

MATLAB Project

This groundbreaking prediction system utilizes extensive data and predictive algorithms to forecast the health effects of smoking and drinking habits. By analyzing individual behaviors, it offers tailored insights to empower proactive health decisions.

This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.

A Crop Recomendation ML model that can idetify the best suitable crop to be planted based on the soil ph,nitrogen,etc content values

A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.

This is the repository for projects of my Data Science internship experience at Tech-A-Intern in jul-2023 to August-2023

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

This Repository comprises of Statistical Analytics and Machine Learning Projects

ML Task 02)- Bharat intern

Telecom Customer Churn Prediction This repository contains a machine learning project focused on predicting customer churn in the telecommunications industry. By leveraging a dataset of customer demographics and usage patterns, we develop and deploy a predictive model to identify customers at risk of leaving the service.

A topic-wise collection of mini projects implementing basic machine learning concepts through python. Originally implemented in Google colab notebooks.

A curated list of awesome Machine Learning frameworks, libraries and software.

. The proposed application, "MelanomaDetector," utilizes a Convolutional Neural Network (CNN) model, specifically a modified version of the VGG16 architecture pre-trained on the ImageNet dataset, for accurate melanoma detection

Data Assignments submitted for my Machine Learning course

A Handwritten Number Predictor(system) using MNIST dataset.

Python and LSTM models power a deep dive into TESLA's stock data (2010-2023). Visualizations with Plotly, a robust LSTM model for accurate predictions, and kudos to teammates Basim Baqai and Muhammad Irtaza. Tech stack: Python, pandas, numpy, matplotlib, plotly, scikit-learn, keras.

Apple stock market prediction and Forecasting for next 30 days with LSTM