Python Code Documented by Me During Learning Some Topics

All my academic projects mostly comprising Data Analysis, ML Models for inference on Jupyter Notebook and Power Bi files.

Data analysis notebooks . Loan prediction analysis and notebooks for all classification algorithms

In this notebook everything is done from data preprocessing to encoding

This repository contains a Jupyter Notebook focused on analyzing Electric Vehicle (EV) population data. The notebook includes data visualizations, exploratory analysis, and key insights.

This repository contains mini projects inData science in python with notebook files

Practice Problems on Data Preparation, Analysis and Visualization with dataset and solutions

This is a repository that is an collection of notebooks and typed out notes about several of the basic machine learning , deep learning and data science topics.

A python notebook predicting houseprices using machine learning techniques , uses the California Housing prices data set from Kaggle

This repository contains working notebooks and data files for the Platinum Jamat Khana's data wrangling online classes.

This project demonstrates Basic Linear Regression using Python. The notebook includes dataset loading, exploratory data analysis, model training, evaluation, and visualization of results.

This project focuses on analyzing data from a GenZ Dating App to uncover insights, trends, and predictive models. The analysis is conducted using Python in a Jupyter Notebook environment.

This project focuses on analyzing data related to divorce status to uncover insights, trends, and predictive models. The analysis is conducted using Python in a Jupyter Notebook environment.

Dans cet article, nous allons aborder les différentes techniques de prétraitement de données en utilisant Python avec Jupyter Notebook. Nous allons travailler sur une base de données de clients d'une banque

The project utilizes Natural Language Processing (NLP) techniques to preprocess and analyze video transcripts, and employs a BERT + Bi-GRU model for text classification. The code is implemented in a Google Colab notebook.

This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.

This repository is a comprehensive guide to Machine Learning algorithms, Python OOP, data preprocessing, and visualization using Pandas, NumPy, Seaborn, Scikit-learn, and more. It includes hands-on Jupyter notebooks, modular Python scripts, and a structured ML pipeline for training and evaluating models. 🚀

🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.

This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.

This Jupyter notebook is an interactive tool for processing natural language text. It segments text into sentences, performs word tokenization, counts word frequencies, timestamps each entry, and saves the results in JSON format. Ideal for NLP studies and text analysis