Predict delivery time using sorting time and Build a prediction model for salary hike.

A neural network implementation in python using matrix operations with gradient descent as backpropogation algorithm. Neural network trained with a math formula and compared with target values and Keras Model optimized by sgd (Stochastic Gradient Descent)

Analyzing local and global temperature data and comparing the temperature trends where we live to overall global temperature trends

Explore Diwali Sales Data Analysis: a project dissecting 11,251 records with 15 columns to uncover customer demographics and buying trends during the festive season. The objective? Understand customer behavior, identify key demographics and product categories driving sales. Utilizing Python libraries like Pandas, NumPy, Matplotlib, and Seaborn, thi

This directory includes the demonstration of data analysis using basic of NumPy, pandas for analysis and matplotlib for visualization

The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.

Cartoonify images using opencv and tkinter

A brief introduction to Markov chain Monte Carlo methods

This project implements a handwritten digit detector using machine learning.

A simple Linear Regression project on a simple dataset for beginners.

Dry Natural Gas Production Prediction of the United States

In this example, I have show how to plot a Bar graph and Pie chart from a given CSV file using python modules like Pandas and Matplotlib

Developed an Azure OpenAI-based RAG email marketing platform with a Streamlit frontend and FIASS vector database for similarity search. The platform processes multiple input formats, including CSV, PDF, text, and PPT, and incorporates product descriptions and sales data to generate creative content and matplotlib graphs based on the input data.

Welcome to the Data Science Projects repository! This repository is a collection of data science projects encompassing various domains and techniques. Whether you are a beginner looking to learn or an experienced data scientist seeking inspiration, this repository offers a rich set of examples to explore and build upon.

This is the code repository for Mastering Machine Learning with scikit-learn - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

基于python的关于b站的一些视频数据的分析（数据是18年的），仅作python学习参考，不做其他用途。

Data Cleaning and Correlation In Python

A few charts with ratings and info about the top 1000 IMDB movies of all time. You will also be able to use the Definitive Movie Picker!

Files from the group repository were shifted to this repository. This project uses Python and its modules to perform analyze a dataset, and present them using Tableau.