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Best Free Certified Machine Learning Courses
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Probability and Statistics cheat sheets for data science
By Stanford

https://stanford.edu/~shervine/teaching/cme-106/
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Most Important Plots in Data Science
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R Programming 2023: Hands on R Programming for Beginners

Learn R Programming and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR

Rating ⭐️: 4.5 out 5
Students πŸ‘¨β€πŸŽ“ : 5,603
Duration ⏰ : 1hr 53min of on-demand video
Created by πŸ‘¨β€πŸ«: Prashanth Chidambaram

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#Data_Science #data_analytics #R
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Python Libraries For Data Scientists
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Forwarded from Cool GitHub repositories
weijie-chen/Linear-Algebra-With-Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc.

Creator: Weijie Chen
Stars ⭐️: 1.9k
Forked By: 456
https://github.com/weijie-chen/Linear-Algebra-With-Python

#Linear_Algebra #Python
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HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. This open source framework works by rapidly transferring data between nodes. It's often used by companies who need to handle and store big data.
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Platforms for data Analytics Interview Preparation
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What are the things you are most afraid of?
Top 8 Highest Paid Companies with Data Analysts AVG Salary
Understanding Bias and Variance in Machine Learning

Bias refers to the error in the model when the model is not able to capture the pattern in the data and what results is an underfit model (High Bias).

Variance refers to the error in the model, when the model is too much tailored to the training data and fails to generalise for unseen data which refers to an overfit model (High Variance)

There should be a tradeoff between bias and variance. An optimal model should have Low Bias and Low Variance so as to avoid underfitting and overfitting.

Techniques like cross validation can be helpful in these cases.



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15 Essential Tips for Data Visualization
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AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

Creator: Alex Lekov
Stars ⭐️: 191
Forked By: 41
https://github.com/Alex-Lekov/AutoML_Alex

#ml #machinelarning #datascience
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2025/07/13 06:07:39
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