Scalable code to solve SUMCOR Generalized CCA problem with missing views.

Cryptocurrency Analysis - Correlation Analysis

This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.

Implementation of some famous data mining algorithms in C++11 boost

📊 数据挖掘常用算法：关联分析Apriori算法，数据分类决策树算法，数据聚类K-means算法

It contain some basic code but useful in solving machine learning task

Curso de adquisición y análisis de datos con técnicas multivariadas, teoría de gráficas, y redes.

Image Quality Indices implementation. This is my thesis project to opt for a Master in Applied Statistics and it was published in a scientific journal.

Библиотека предобработки данных

Twitter is an online social networking service with over 300 million monthly active users. This enormous amount of data available on social media platforms can be extracted and analyzed for various purposes. In this paper, we aim to investigate the relationship between sentiment analysis of Twitter data and stock market prices for five companies…

Statistical analysis in Python of California’s Class of 2019 SAT/ACT Performance by School District, with data visualizations in Matplotlib and Seaborn.

EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Mo…

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Predicting the cab booking using ML algorithms by considering the various conditions of seasons, day timing, & environment

Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.

Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few y…