Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

My Python learning experience 📚🖥📳📴💻🖱✏

Perform a STEP by STEP multiple mean comparison analysis on R

Projet pour une banque présente dans plusieurs pays, l'objectif est de cibler les prospects les plus susceptibles d'avoir, plus tard dans leur vie, de hauts revenus.

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

Regression | Analysis | Modelling | Bayesian Search CV | Data Leakage | Overfit/Underfit | End-to-End Project

projet d'analyse exploratoire et de visualisation

Exploratory Data Analysis in R on UN Happiness Report and World Bank Metrics from 2019

Comprehensive longitudinal analysis of racial health disparities across Alabama counties (2014-2024) using advanced statistical methods and interactive Tableau dashboards

Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.

MA4094*-應用統計

In this project I used classification algorithms for analysis of avila dataset

Data for publication on how juvenile house crickets adjust adult calling songs and aggressive behaviors based on developmental exposure to population density, potentially adopting alternative mating tactics to maximize success in varying social environments.

Se realiza un análisis estadístico descriptivo de datos obtenidos en 3 viñedos diferentes con el objetivo de encontrar diferencias y relaciones entre las variables medidas, para concluir las características del vino de cada viñedo.

Designing Industrial Experiments, one-way, and two-way ANOVA analysis, Experimental design principles (Replication, Randomization, and Blocking), Parameter Estimation, Sample Variance

Econometrics project that aims to analyze the relationship between Reservoir Water Level and various Power Inequalities in different states of India.

Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square