2020-05-24 TPOT - Python - MAGIC: JMA - 106 TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. tpot python

2020-05-24 Detailed notebook to fine tune RoBERTa (for beginners) The data set use is from the kaggle competition "Tweet Sentiment Extraction" and the pretrained RoBERTa is from Abhishek Thakur's Dataset name "roberta-base" beginners tutorials roberta fine tuning deep learning

2020-05-13 Data Scraping In this notebook, I am going to show you four ways to scraping Coronavirus Data from web. data-scraping tutorial

2020-04-13 Inferential Statistics - Supermarket Sales - JMA This notebook is intended to introduce some of the concepts of Inferential Statistics. statistics python

2020-04-10 Wine Quality Targeted at beginners. The well-known wine quality data set run with pipelines concept and multiple models selection based on MAE metric rather than Accuracy %. mae accuracy beginners machine learning

2020-04-09 EDA on MPG Data using Seaborn This notebook consists of EDA on MPG data using seaborn where we extract meaning/information from data using plots and report important insights about data. This part is more about data analysis and business intelligence(BI). data visualization data science data analysis eda seaborn

2020-04-07 Web scraping live COVID -19 data and its analysis This notebook is a self-updating Jupiter notebook which updates according to the realtime database and gives visualization and insight to the world data covid-19 coronavirus

2020-04-07 Introduction to Descriptive Statistics In this Notebook, I have tried to Introduce the Concepts of Descriptive Statistics which helps us to describe the data to be used for any Purpose. statistics descriptive statistics data science python

2020-04-07 Introduction to Inferential Statistics This Notebook is Intended to Introduce the Concepts of Inferential Statistics, Inferential Statistics is divided into two major parts i.e., Probability and Inference. Where Inference gives us some of very important concepts. statistics probability confidence interval central limit theorem hypothesis testing

2020-04-07 A quick look into LSA In this notebook, I have introduced and worked on explaining Latent Semantic Analysis on simple data. text analytics lsa python nlp

2020-04-06 TPOT Titanic TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. tpot genetic programming python

2020-04-05 Covid-19: Are we flattening the curve? This notebook was inspired by a 'Minute Physics' episode explaining the usefulness of plotting new cases vs cases on log-log axes. There is a link to the episode in the notebook. The data is from the NYT county data set. covid-19 coronavirus

2020-04-05 Linear Algebra in Python Linear algebra is the branch of mathematics concerning linear equations and their representations in vector spaces and through matrices. Linear algebra is central to almost all areas of mathematics. algebra python

2020-04-05 Seaborn 2.0 Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. python seaborn

2020-04-05 Matplotlib Express Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. matplotlib