venky14 / Stock Market Analysis And Prediction
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Stars: ✭ 112
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Stock Market Analysis And Prediction
Windrose
A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (+85.71%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Machine Learning Alpine
Alpine Container for Machine Learning
Stars: ✭ 30 (-73.21%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Pythondatasciencehandbook
The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
Stars: ✭ 31,995 (+28466.96%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Machine Learning Projects
This repository consists of all my Machine Learning Projects.
Stars: ✭ 135 (+20.54%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Opendatawrangling
공공데이터 분석
Stars: ✭ 148 (+32.14%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Data Analysis
主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。
Stars: ✭ 142 (+26.79%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Data Science For Marketing Analytics
Achieve your marketing goals with the data analytics power of Python
Stars: ✭ 127 (+13.39%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+1861.61%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Stats Maths With Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+240.18%)
Mutual labels: jupyter-notebook, pandas, numpy, matplotlib
Credit Risk Modelling
Credit Risk analysis by using Python and ML
Stars: ✭ 91 (-18.75%)
Mutual labels: jupyter-notebook, pandas, numpy
Crime Analysis
Association Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-82.14%)
Mutual labels: jupyter-notebook, pandas, matplotlib
Pymc Example Project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-19.64%)
Mutual labels: jupyter-notebook, pandas, numpy
Notes Python
中文 Python 笔记
Stars: ✭ 6,127 (+5370.54%)
Mutual labels: jupyter-notebook, numpy, matplotlib
Baby Names Analysis
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
Stars: ✭ 557 (+397.32%)
Mutual labels: pandas, numpy, matplotlib
Mexican Government Report
Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.
Stars: ✭ 473 (+322.32%)
Mutual labels: pandas, numpy, matplotlib
Pynamical
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
Stars: ✭ 458 (+308.93%)
Mutual labels: pandas, numpy, matplotlib
Mlcourse.ai
Open Machine Learning Course
Stars: ✭ 7,963 (+7009.82%)
Mutual labels: pandas, numpy, matplotlib
Machinelearningcourse
A collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-68.75%)
Mutual labels: jupyter-notebook, pandas, numpy
Pandas Ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Stars: ✭ 962 (+758.93%)
Mutual labels: jupyter-notebook, pandas, stock-market
Sigmoidal ai
Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-8.04%)
Mutual labels: jupyter-notebook, pandas, matplotlib
Stock Market Analysis and Prediction
Introduction
Stock Market Analysis and Prediction is the project on technical analysis, visualization, and prediction using data provided by Google Finance. By looking at data from the stock market, particularly some giant technology stocks and others. Used pandas to get stock information, visualized different aspects of it, and finally looked at a few ways of analyzing the risk of a stock, based on its previous performance history. Predicted future stock prices through a Monte Carlo method!
Purpose
The purpose of this project is to comparatively analyze the effectiveness of prediction algorithms on stock market data and get general insight on this data through visualization to predict future stock behavior and value at risk for each stock. The project encompasses the concept of Data Mining and Statistics. This project makes heavy use of NumPy, Pandas, and Data Visualization Libraries.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].