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A collection of various technical indicators implemented in Pine Script for the TradingView platform
:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
This scripts are made to help making better decision in trading or investing. Self made using PineScript 5, run in TradingView.
Retaining key employees is a major stake for any organization but are there reliable ways to figure out if and why the best and most experienced employees are leaving prematurely? Most firms these days are already integrating the benefits of using analytics to introduce special efforts in retaining employees as well as in hiring decisions. Lot of factors play key role in identifying significant predictors offering insights and meaning that can be interpreted using a statistical modelling language such as R. In this project, I have used HR Analytics dataset from Kaggle that is fictitious in nature because no company will share its personally identifiable records
storage for thoughts, notes, etc.
K means clustering for breast-cancer-wisconsin.data from scratch
Social Sharing of Resources
BenchMetrics - A Systematic Benchmarking Method for Binary-Classification Performance Metrics
使用机器学习算法,对 Minecraft 进行实体滞后检测并以可视化的方式显示。 | Detecting entity lag in Minecraft using machine learning algorithms and displaying it in a visualized manner.
A Project to work with the team to discover some structure to E-commerce cosmetics data using unsupervised learning techniques.
K-Mean clustering program in Java to cluster the data point into 4 clusters
Machine Learning (Stanford University) Week 8 assignments solutions
These scripts compute mean accuracy and total trial counts for working memory performance in the Secondary Memory (SM) tasks (letter position and word-word) developed by Wilhelm et al., 2013.
The project is mainly to demonstrate the performance in terms of convergence for Random Initialisation and K++ for K-Means Algorithm.
I implemented the K-Means Clustering Model to Analyse the Data in Python and R