美颜相机，具有人脸检测、磨皮美白人脸、滤镜、调节图片、摄像功能

A two-way connector to use regular Python from IronPython in Rhino/Grasshopper, and vice-versa.

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Dry Natural Gas Production Prediction of the United States

a crypto bot that checks the price movement in the markets and creates buy and sell signals

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

A brief introduction to Markov chain Monte Carlo methods

a class for standardized accessible plots

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

predict the IPL score of the team based on the past performance.

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.

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

simple linear regression assignment

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

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.

This project implements a handwritten digit detector using machine learning.

Cartoonify images using opencv and tkinter

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