Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solution

* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering

A .Net (C#) based GUI-application that performs some statistical analysis on a .txt file, mapping the numbers (0-9) and the letters, both uppercase and lowercase letters, into random variables (RVs). Moreover, StatisText computes both PMF and CDF of each RV in addition to some statistical moments (e.g. mean, variance, skewness and kurtosis).

Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.

Predict sales prices and practice feature engineering and advanced regression techniques.

Analysis of Skewness and Kurtosis in Stock Return data and their Transformations

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data SP and Weight(WT) Use Q9_b.csv

Our task is to predict whether a bank currency note is authentic or not based upon four attributes of the note i.e. skewness of the wavelet transformed image, the variance of the image, entropy of the image, and kurtosis of the image. This is a binary classification problem and we will use the Support Vector Machine algorithm to solve this probl…

Vrinda Store wants to create an annual sales report for 2022. So that, Vrinda can understand their customers and grow more sales in 2023

Introducing the world's first fully generalized normal distribution, super-flexible in both, skewness and kurtosis. Basically will enable for automatic testing of skew __and also__ heavy tailed/ fat tailed distributions.

Calculate some statistics operation using javascript.

Implementing the online algorithm used here:https://www.johndcook.com/blog/2013/06/11/computing-skewness-and-kurtosis-in-one-pass/ to compute skewness, kurtosis and bimodality of a dataset represented here by an array.

Q9) Calculate Skewness, Kurtosis & draw inferences on the following data Cars speed and distance Use Q9_a.csv

Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative

Symbolic Aggregate approXimation analysis on skewed Time Series Data

A Python repository focused on applying Data Science to cryptocurrency trading on Binance Exchange

a calculator for my quantitative methods subject on my second year in college