jaychao1973

Pinned Repositories

• AI-for-Finance-Stocks-real-time-analysis-

  • First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. • Then we use machine learning LSTM technique to predict the future stock price and at last create an interactive web-app using Streamlit in python.

  Language:Jupyter Notebook00

• Arduino_C

  工業局

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• Attention-Based-LSTM-Network-for-Predicting-Times-Series

  Forex price movement forecast

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• community

  Stores documents used by the TensorFlow developer community

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• docs

  TensorFlow documentation

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• effectivepython

  Effective Python: Second Edition — Source Code and Errata for the Book

  Language:Python00

• Forcasting-A-Time-Series-Stock-Market-Data

  A Comparative Analysis of a Real Close-price Stock Market Data with The Classical Time Series, Machine Learning and a Single Layered Neural Network Model

  Language:R00

• Hands-On-Object-Oriented-Programming-with-CSharp

  Hands-On Object-Oriented Programming with C#, published by Packt

  Language:C#00

• HandsOn-Data-Analysis-and-ML

  Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC. Day:1 In this project, Students will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. They will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Technologies that will be covered are Numpy, Pandas, Matplotlib, Seaborn, Jupyter notebook. We will be giving the students a deep dive into the Data Analytical process Day:2 We will be giving the students an insight into one of the major fields of Machine Learning ie. Time Series forcasting we will be taking them through the relevant theory and make them understand of the importance and different techniques that are available to deal with it. After that we will be working hands on the bike share data set implementing different algorithms and understanding them to the core We aim to provide students an insight into what exactly is the job of a data analyst and get them familiarise to how does the entire data analysis process work. The session will be hosted by Shaurya Sinha a data analyst at Jio and Parag Mittal Software engineer at Microsoft.

  Language:Jupyter Notebook00

• java

  Language:Java00

jaychao1973's Repositories