How to Install and Secure MySQL on Linux, Windows & macOS : The Ultimate Guide
Installing and Securing MySQL: A Comprehensive Guide for Linux, Windows, and macOS
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Machine learning : A detailed analysis
Components of ML Machine learning is a complex field that involves two primary components: the ML life cycle and algorithms. ML Life Cycle: Involves stages such as problem definition, data collection, preprocessing, model selection, training, evalua...
EDA (Exploratory Data Analysis)
To train a model, we need to feed it Data. Data which is “cleaned” and “appropriate” for training our machine. Appropriate data means it is “only that much” that is required, consisting of no duplicate values, and irrelevant data(row or column or Nul...
NumPy : Cheatsheet and Resources
NumPy or Numerical python is a python library used for “numerical computing” in python. It that provides a multidimensional array object Numpy cheatsheet 1. import numpy as np # Import numpy library 2. arr = np.array([1, 2, 3]) # Create a numpy ...
Pandas cheatsheet
Quick Reference for Pandas Functions in Python for Data Analytics and Machine learning projects.
Python for Machine learning
Python is a simple programming language, and its most used in Machine Learning, due to its tools availability like numpy library that can do complex mathematical operations in seconds. We can use other programming languages like java, c++ but python ...
Setting up VS code for Machine learning projects
To make machine learning projects, we need to setup following in vs code Jupyter environment Virtual environment Python and it's libraries installation Version control integration (Git and GitHub) Step 1 : Create a Virtual environment Open VS ...
Machine Learning ROADMAP
In this "Machine Learning series", i will document my ML & data science projects and notes for reference.
