Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook

Machine Learning Concepts And Models using Octave and Jupyter Notebook

This repo contains python notebooks, and datasets and models on ML and DL

This code demonstrates how to use Jupyter Notebooks effectively for deep learning workflows. It covers installing dependencies, running commands, and managing code cells in Google Colab. The notebook serves as a quick-start guide for beginners to set up and execute ML experiments interactively.

A collection of machine learning mini-projects and analyses developed using Jupyter Notebook. Each project demonstrates practical applications of machine learning algorithms on a variety of datasets, covering techniques from exploratory data analysis (EDA) to model training and evaluation.

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

Fake Job Post Prediction — An NLP-based project to detect fake job postings using text preprocessing, feature extraction (TF-IDF), and machine learning models. The project includes data cleaning, exploratory analysis, model training, and prediction notebooks.

"A collection of Jupyter notebooks showcasing the implementation of key machine learning algorithms for classification and regression tasks using Python’s sklearn library. This repository includes detailed examples on SVM, KNN, and Logistic Regression models, complete with data preprocessing, parameter tuning, and comprehensive evaluations."

Welcome to the repository containing comprehensive data analytics projects focused on customer behavior analysis and sales forecasting. These projects leverage real-world datasets and practical tools like Python, Excel, Power BI, and Jupyter Notebooks to uncover actionable insights and predict future trends.