Daily Stock Forecasts using Machine Learning & Python

（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

A practical guide to topic mining and interactive visualizations

真实预测未来7天的天气气象数据，使用多种机器学习和深度学习LSTM算法，采集全国各省历史、实时数据（天气预报、极端天气预警、生活指数），可视化大屏，Hadoop、Spark、Hive数仓数据分析，大模型AI智能问答系统

sciblox - Easier Data Science and Machine Learning

Kai Sheng Teh - Udacity Data Analyst Nanodegree

A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.

AltairCare is a machine learning/deep learning web app for disease diagnosis and prediction

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Final Project of the MLOps Zoomcamp hosted by DataTalksClub.

Diabetes Prediction is my weekend practice project. In this I used KNN Neighbors Classifier to trained model that is used to predict the positive or negative result. Given set of inputs are BMI(Body Mass Index),BP(Blood Pressure),Glucose Level,Insulin Level based on this features it predict whether you have diabetes or not.

Air Quality Prediction using Machine Learning

This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.

A sentiment analysis tool based on Learning Sentiment- Specific Word Embedding for tweets classification

Machine Learning model to predict if a client will subscribe to the product, given his/her demographic and marketing campaign related information

A machine learning web application used to depict presence of heart disease, made using Random Forest Classifier and Flask. Deployed on pythonanywhere

国内铁路延误火车晚点数据分析

Stock prediction web app using flask, pandas, scikit-learn and am charts