Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
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Updated
Dec 26, 2022 - HTML
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."
This contains the BaseBall players, managers, teams analysis
Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)
Loan Application Prediction through machine learning moldes : Logistic Regression, Random Forest, DecisionTree,
Automate the process of visualization.
Investigating Movies Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)
Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.
EDA, data processing, cleaning and extensive geospatial analysis on a selenium based web scraped dataset
#100DaysOfCode Challenge | 100daysofcode.com | Collection of projects completed during #100DaysOfCode Challenge | Track my progress in log-v2.md
Data Analysis Solution for Titanic passenger data.
Classifying Forest Cover type
Udacity - Data Analyst Nanodegree - Project 5 - Data Visualization
Here is a list of nice and lovely data visualizations made using different python libraries - matplotlib, seaborn, plotly, and folium.
A Comprehensive exploratory data analysis (EDA) on a loan dataset to uncover key trends, patterns, and relationships among various loan attributes. By visualizing and analyzing the data, we aim to gain insights into loan performance, borrower characteristics, and market dynamics. 🪙🏦
Determine a seedling Species from an image based on Kaggle Competition
Udacity Data Analyst Nanodegree - Project III
Add a description, image, and links to the seaborn topic page so that developers can more easily learn about it.
To associate your repository with the seaborn topic, visit your repo's landing page and select "manage topics."