linear regression with gradient descent-univariate and multivariate on house pricing dataset

Hi, this is my personal project to track my progress in becoming a data analyst. I'm still learning, and I'm open to any feedback and suggestion. Thank you!

Polynomials are mathematical objects which are expressions of variables and coefficients added to-gether. These polynomials can use operator overloading in a very intuitive manner since most of the operators that we can overload are mathematical operators, which can also be applied to polynomials.

R-based project to analyze lyrics entropy by genre and decade. A hand-engineered feature "words-per-unique-word" is introduced and deeply studied. Spotify and Genius APIs are used

This project has two parts that demonstrate the importance and value of data visualization techniques in the data analysis process: Exploratory and Explanatory Data Visualization.

A Viet Nam Stock Forecasting Framework

This is a price and volatility uni-multivariate forecasting of collectible assets

Used libraries and functions as follows:

【时间序列】单变量单步预测方法总结

Feature Selection Examples

Projects and Lists of the postgraduate course on Unsupervised Machine Learning [PPGEEC2325] at UFRN.

code will related to time series data and forecast

Memory efficient, fast approximate statistical analysis tool

woe credit

A presentation of my exploratory data visualization results with univariate, bivariate, and multivariate features.

This project is open-ended in that we are not looking for one right answer. As John Tukey stated, "The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data." We want you to ask interesting questions about data and give you a chance to explore.

Master's Thesis project code with related files and datasets

PISA 2012 data visualisation. Univariate, bivariate and multivariate exploration.