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KickStart to Machine Learning
Last updated: Dec 10, 2021

KickStart to Machine Learning

Gear to know about libraries and packages that are essential to perform Machine learning techniques and build models. Master code implementation of Numpy and Pandas with Linear Algebra including matrices, vectors, and statistics.
13 Books to master Machine Learning MEDIUM
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5 On-Going Trends in the Field of Deep Learning
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Numpy and Linear Algebra

Learn about the Numpy functions needed to get started with Machine Learning, as well as code snippets and mathematical concepts related to Linear Algebra.
NumPy Basics
In this blog post, we’ll learn the basics of the NumPy library. From the installation to performing basic operations on arrays, we’ll cover all aspects of the NumPy package.
Author Chaturvedi
0 upvotes
How to install numpy in python EASY
NumPy is an open-source library for the Python programming language. This blog will discuss how to install NumPy in Python along with its features.
Author Shivani Singh
0 upvotes
Random Generators in Numpy
In this blog, we’ll learn about different random functions in NumPy.
Author Anant Dhakad
1 upvote
Numeric Datatypes in NumPy EASY
NumPy is a Python library that amplifies arrays' abilities by allowing mathematical operations. This article focuses on the Numeric Datatypes in NumPy.
Author Shiva
1 upvote
Statistical Computing using NumPy
In this blog, we’ll learn about different statistical functions in NumPy.
Author Anant Dhakad
0 upvotes
numpy.convolve() Method in Python EASY
In this article, we will discuss the NumPy library in Python and its important function, numpy.convolve() Method in Python
Author Kartik Kukreja
0 upvotes
Basics of Matrix, Vector, and various matrix operations
This blog will study basic linear algebra, including Matrix, Vector, and various matrix operations.
Author Ritik Arora
1 upvote
Difference Between Flatten and Ravel Functions in Numpy EASY
In this article, we will discuss Flatten Function, Ravel Functions, their Syntax and the difference between them.
Author Jagriti20
0 upvotes
Linear Equations, Vector Norms, and Covariance matrix
In this blog, we’ll learn about some essential mathematical concepts used in machine learning.
Author Anant Dhakad
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Important Numpy Functions for ML
In this blog post, we'll be learning about popular Numpy functions in the field of Machine Learning. We would also be testing the same and observing the results.
Author Shabeg Singh Gill
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String Information in NumPy MEDIUM
In this article, we will discuss String operations, and their various advantages and disadvantages.
Author Jagriti20
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Manipulating Data Types in NumPy EASY
In the article “Manipulating Data Types in NumPy”, we will discuss the Numpy Arrays and manipulate the data types using the astype() function.
Author lakshayhere
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Numpy.Transpose() in Python EASY
In this article, we will discuss the NumPy transpose in python. We will be learning about the manual method also to calculate the transpose.
Author Kartik Kukreja
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NumPy.reshape() in Python EASY
In this article, we will discuss the NumPy reshape() function. We will discuss its syntax, parameters and other special cases of NumPy reshape python function.
Author Alankrit Srivastava
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Convert Python Data Structures to Numpy Array EASY
In this blog, we will see various conversions of Python data structures to Numpy arrays using the np.array() method in Numpy.
Author Ayush Mishra
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numpy.log() in Python EASY
This article will teach us about numpy.log() in Python, key features of Numpy and use of this logarithmic function.
Author juhipathak
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numpy.fft() EASY
In this article, we will discuss NumPy, its syntax and the available functions of numpy.fft()
Author Jagriti20
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Byte Swapping in NumPy EASY
In this article, we will discuss the need for byte swapping, how byte swapping can be done, and lastly, and implementation of byte swapping.
Author lakshayhere
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Vectorization in NumPy MEDIUM
This article will teach us about Vectorization in Numpy, Numpy arrays, vectorized options and the use cases of vectorization, etc.
Author juhipathak
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numpy.arctan2() in Python EASY
This article will teach us about numpy.arctan2() in Python, its syntax and parameters, working, real-world use cases along with examples.
Author juhipathak
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stack() Function in NumPy MEDIUM
In this article, we will discuss the stack() function, its use in 1-D, 2-D and 3-D arrays and its various functions.
Author Jagriti20
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Difference Between np.mean() Vs np.average() MEDIUM
In this article, we will discuss np.mean(), np.average(), their Syntax and the difference between them.
Author Jagriti20
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Pandas and Datasets

Pandas is a very important and interesting Python library for data handling and dataset operations. Learn about its methods, applications, and implementations that will help you clean up your data
Getting started with Pandas
In this article, we will see the installation, how to use it while making machine learning, deep learning models, and other basic functionalities of pandas.
Author soham Medewar
1 upvote
Pandas Read Excel EASY
In this article, you’ll learn what pandas read excel is, the different parameters of pandas read excel, and some examples of pandas read excel.
Author Muskan Sharma
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Parallelizing Your Pandas Workflow EASY
This article will cover the concept of parallelization and how to apply it to Pandas and also discuss various ways to implement parallelization.
Author yesdhruv
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How to Install Pandas in Python EASY
In this article, we will learn how to install Pandas in Python with proper steps and what pandas is all about.
Author Kanak Rana
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pandas.concat in Python EASY
This function is useful for merging datasets, stacking them, or aligning data from various sources.
Author Sinki Kumari
0 upvotes
Must Know Functions in pandas
In this blog, we will learn about the Pandas library and some must-know functions in Pandas. We'll go through some simple examples to better understand all the functions.
Author Chaturvedi
2 upvotes
I/O with Pandas EASY
In this blog, we will discuss Pandas and I/O with Pandas. We will also see how to install and import pandas as well.
Author Aditya_2bc4
1 upvote
Pandas Profiling in Python EASY
In this blog, we will discuss about Pandas profiling in Python. We will discuss about how to use Pandas profiling by taking an example.
Author mishrashriCodes
1 upvote
pandas.at() Method EASY
This article will cover Pandas at() with its syntax, errors and return value and discuss several working examples.
Author yesdhruv
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Selecting, Extracting and Slicing Dataframes Pandas
This article teaches you about selecting, extracting, and slicing dataframes in Pandas.
Author Abhinav Anand
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Labels in Pandas Series MEDIUM
In this blog, we will discuss Labels in Pandas Series, Several motives of Labels in the Pandas Series, and some frequently asked questions.
Author Aditya_2bc4
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Pandas query() Method EASY
In this article, we will discuss the Pandas query(), its syntax and several working examples with some faqs.
Author yesdhruv
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Pandas explode() Function EASY
This article discusses the explode() function provided by the Pandas library with the help of examples.
Author Abhinav Anand
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Imputation in Pandas EASY
In this article, we will discuss the Imputation in Pandas in detail with the help of examples and will check some FAQs.
Author Alisha
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Groupby.count in Pandas
This article discusses the groupby() and count() methods available in the Pandas library.
Author Abhinav Anand
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Pandas rank() Function EASY
This article discusses the rank() function provided by the Pandas library with the help of examples.
Author Abhinav Anand
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Pandas dataframe.shift() EASY
In this blog, we will discuss about Pandas dataframe.shift(). We will discuss its syntax, parameters, and some examples based on it.
Author mishrashriCodes
1 upvote
Caveats and Gotchas in Pandas EASY
In this blog, we will discuss about caveats and gotchas in Pandas. We will see various ways to deal with caveats and gotchas in Pandas.
Author mishrashriCodes
1 upvote
Pandas Pivot Table MEDIUM
This article explains how to use pivot_table() in Python. The article covers the basics of creating a pivot table, the data needed, and how to avoid mistakes. It also includes some examples to help readers understand better.
Author Aayoushee ahlawat
1 upvote
Pandas Melt() Function EASY
In this article, we will discuss the Pandas Melt() Function in detail with the help of examples and will check some FAQs.
Author Alisha
0 upvotes
ewm() Method in Pandas EASY
In this blog, we will discuss about ewm() Method in Pandas. We will discuss its syntax, parameters, and some examples based on it.
Author mishrashriCodes
1 upvote
Time Series and Timedelta in Pandas EASY
This article will cover Time Series with basic operations and Timedelta in Pandas and will understand them by discussing several working examples.
Author yesdhruv
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Panel in Pandas EASY
This article will cover the Panel in Pandas and how to create it and will cover basic operations with the help of examples.
Author yesdhruv
0 upvotes
Resampling, Rolling Calculations, and Differencing in Pandas EASY
This article will cover three important techniques for time series analysis, which are resampling, rolling calculations, and differencing in Pandas, with examples.
Author yesdhruv
0 upvotes
Difference Between loc() and iloc() in Pandas EASY
loc() is for selecting data by label e.g., column or row names, while iloc() is for selecting data by integer position e.g., row and column indices.
Author Vidhi Sareen
0 upvotes
Pandas Index and Pandas Reindex EASY
In this article, we will discuss the Pandas Index and Pandas Reindex in detail with the help of examples and will check some FAQs.
Author yesdhruv
0 upvotes
Concatenate and Reshape Data frames in Pandas EASY
This article teaches you how to concatenate and reshape data frames in Pandas.
Author Abhinav Anand
0 upvotes
Advanced functions in Pandas
In this article, we will learn the important function that every Machine Learner must know while using pandas.
Author soham Medewar
0 upvotes
How To Rename Columns In Pandas (With Examples) MEDIUM
In this article, we will discuss what the Pandas DataFrame is and the various methods through which we can Rename Columns in Pandas.
Author Manan Singhal
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Introduction to Reset Index in Pandas Dataframe EASY
This blog will help you to clear your understanding of how to reset index in pandas dataframe and dry run with various examples to have a clear idea.
Author Musical Matrix
0 upvotes
Pandas MultiIndex MEDIUM
In this article, we will discuss the Pandas Multi Index in detail with the help of examples and will check some FAQs.
Author Alisha
0 upvotes
Python String join() Method EASY
In this blog, we’ll study the concept of Join in Python. We will further discuss how to implement joins using Pandas in Python.
Author GeetikaDua
0 upvotes

SciPy Library

SciPy is a Python library for performing scientific and mathematical calculations. It covers everything from basic linear algebra to advanced calculus, differential equations, and engineering problems. A must-read for Python and science enthusiasts.
Basic Guide to SciPy
In this article, we will look into the installation of SciPy, the primary guide, its uses, and some of the primary functions.
Author Mayank Goyal
0 upvotes
Must know Functions In SciPy
This article will look into some advanced functions of SciPy with their implementations.
Author Mayank Goyal
0 upvotes

scikit-learn Library

The scikit-learn package is a fascinating and valuable library for machine learning operations. It includes a wide range of supervised and unsupervised learning algorithms, from classification to regression. Methods and functions that are simple to invoke.
Basic Guide to Scikit-learn
In this blog, we will learn a critical module or library for machine learning: Scikit-learn and its use cases and the implementation with the help of an example.
Author Rajkeshav
0 upvotes
Must Know Functions in Scikit-Learn
In this blog post, we'll learn about some essential scikit-learn functions. We will be testing the same and observing the results.
Author Shabeg Singh Gill
0 upvotes
Preprocessing with scikit-learn MEDIUM
In this article, you'll learn how to do the Preprocessing with scikit-learn
Author Muskan Sharma
0 upvotes
Implementing Linear Models Using scikit-learn MEDIUM
In this article, we will explain the implementation of linear models using scikit-learn
Author Harshita Singh
1 upvote
Ensemble Method using scikit-learn MEDIUM
In this article, we will cover the topic of the ensemble method in machine learning.
Author Vibhor_376
0 upvotes
MultiClass and Multioutput Classification using scikit-learn MEDIUM
In this article, we will cover the topic of multiclass, multilabel, and multioutput classification and after that, we will also have a look at their implementations using scikit-learn.
Author Vibhor_376
1 upvote
Feature Selection in ML with scikit-learn MEDIUM
In this article, we will cover the topic of feature selection in ML with scikit-learn.
Author Vibhor_376
0 upvotes