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Welcome to Just into Data, a place for data science made simpleR!
Enjoy data science articles on various topics such as Machine Learning, AI, Statistical Modeling, Python Programming.
Python NumPy Tutorial: Practical Basics for Data Science
Learn NumPy arrays with Examples
This is a beginner-friendly tutorial of Python NumPy (arrays) basics for data science.
Learn this essential library with examples.
Logistic Regression for Machine Learning: complete Tutorial
Understand this popular Supervised Classification Algorithm step-by-step
This is a complete tutorial for logistic regression in machine learning. Learn the popular supervised classification predictive algorithm step-by-step.
Linear Regression in Machine Learning: Practical Python Tutorial
With examples using Python scikit-learn
This is a complete tutorial to linear regression algorithm in machine learning.
Learn how to implement simple and multiple linear regression in Python, step-by-step.
Machine Learning for Beginners: Overview of Algorithm Types
Start learning Machine Learning from here
In this beginners’ tutorial, we’ll explain the machine learning algorithm types.
Following this guide, you can break into machine learning by understanding:
– What is machine learning, in simple words.
– What are supervised, unsupervised, and reinforcement learning.
– 10 commonly used machine learning algorithms.
In the end, you’ll gain an overview of machine learning (ML) and when to use these algorithms when practicing ML.
Pandas read_csv to DataFrames: Python Pandas Tutorial
How to import csv files using pandas with examples
In this tutorial, we’ll show how to use read_csv pandas to import data into Python, with practical examples.
csv (comma-separated values) files are popular to store and transfer data. And pandas is the most popular Python package for data analysis/manipulation. These make pandas read_csv a critical first step to start many data science projects with Python.
You’ll learn from basics to advanced of pandas read_csv, how to:
– import csv files to pandas DataFrame.
– specify data types (low_memory/dtype/converters).
– use a subset of columns/rows.
– assign column names with no header.
And More!
This pandas tutorial includes all common cases when loading data using pandas read_csv.
SQL Tutorial for Beginners: Learn SQL for Data Analysis
From zero to HERO
This is an ultimate SQL tutorial to learn SQL for data analysis (from beginner to advanced), with examples for practice.
Following this tutorial, you’ll discover:
– How to learn SQL on a sample database on SQL server, for FREE.
– How to write SELECT statements (all you need to know), SQL joins.
– How to write advanced SQL subqueries, window functions.