Tags

Har tag ke neeche uske saare notes. Kisi bhi note ke frontmatter mein tags: daalo — woh apne aap yahan aa jayega.

arrays

• NumPy — Complete Notes

backpropagation

• Maths for ML — Multivariable Calculus and Gradient

bayes

• Maths for ML — Probability Basics

broadcasting

• NumPy — Complete Notes

calculus

• Maths for ML — Functions and Derivatives
• Maths for ML — Multivariable Calculus and Gradient

campusx

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime
• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• Maths for Machine Learning — MOC
• Matplotlib — Complete Notes
• NumPy — Complete Notes
• Pandas — Series & DataFrame
• Practice Questions & Solutions
• Seaborn — Complete Notes

case-study

• Practice Questions & Solutions

data-science

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime
• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• Matplotlib — Complete Notes
• NumPy — Complete Notes
• Pandas — Series & DataFrame
• Practice Questions & Solutions
• Seaborn — Complete Notes

dataframe

• Pandas — Series & DataFrame

datetime

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime

derivatives

• Maths for ML — Functions and Derivatives

determinant

• Maths for ML — Determinant, Inverse and Rank

distributions

• Maths for ML — Random Variables and Distributions

eda

• Maths for ML — Descriptive Statistics
• Seaborn — Complete Notes

eigenvalues

• Maths for ML — Eigenvalues, Eigenvectors, PCA and SVD

exercises

• Practice Questions & Solutions

filtering

• Pandas — Series & DataFrame

geometry

• Maths for ML — Lines, Planes and Hyperplanes

gradient

• Maths for ML — Multivariable Calculus and Gradient

gradient-descent

• Maths for ML — Optimization and Gradient Descent

groupby

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime

http

• Python — requests library

hypothesis-testing

• Maths for ML — Inferential Statistics

index

• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn

inverse

• Maths for ML — Determinant, Inverse and Rank

library

• Python — requests library

linear-algebra

• Maths for ML — Determinant, Inverse and Rank
• Maths for ML — Eigenvalues, Eigenvectors, PCA and SVD
• Maths for ML — Linear Transformations
• Maths for ML — Lines, Planes and Hyperplanes
• Maths for ML — Matrices
• Maths for ML — Vectors

machine-learning

• Maths for ML — Descriptive Statistics
• Maths for ML — Determinant, Inverse and Rank
• Maths for ML — Eigenvalues, Eigenvectors, PCA and SVD
• Maths for ML — Functions and Derivatives
• Maths for ML — Inferential Statistics
• Maths for ML — Linear Transformations
• Maths for ML — Lines, Planes and Hyperplanes
• Maths for ML — Matrices
• Maths for ML — Multivariable Calculus and Gradient
• Maths for ML — Optimization and Gradient Descent
• Maths for ML — Probability Basics
• Maths for ML — Random Variables and Distributions
• Maths for ML — Vectors
• Maths for Machine Learning — MOC

markdown

• Writing cheatsheet

maths

• Maths for ML — Descriptive Statistics
• Maths for ML — Determinant, Inverse and Rank
• Maths for ML — Eigenvalues, Eigenvectors, PCA and SVD
• Maths for ML — Functions and Derivatives
• Maths for ML — Inferential Statistics
• Maths for ML — Linear Transformations
• Maths for ML — Lines, Planes and Hyperplanes
• Maths for ML — Matrices
• Maths for ML — Multivariable Calculus and Gradient
• Maths for ML — Optimization and Gradient Descent
• Maths for ML — Probability Basics
• Maths for ML — Random Variables and Distributions
• Maths for ML — Vectors
• Maths for Machine Learning — MOC

matplotlib

• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• Matplotlib — Complete Notes
• Practice Questions & Solutions

matrices

• Maths for ML — Matrices

merge

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime

meta

• Writing cheatsheet

moc

• Maths for Machine Learning — MOC

multiindex

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime

notes

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime
• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• Matplotlib — Complete Notes
• NumPy — Complete Notes
• Pandas — Series & DataFrame
• Practice Questions & Solutions
• Seaborn — Complete Notes

numpy

• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• NumPy — Complete Notes
• Practice Questions & Solutions

optimization

• Maths for ML — Optimization and Gradient Descent

pandas

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime
• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• Pandas — Series & DataFrame
• Practice Questions & Solutions

pca

• Maths for ML — Eigenvalues, Eigenvectors, PCA and SVD

pivot-table

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime

plotting

• Matplotlib — Complete Notes

practice

• Practice Questions & Solutions

probability

• Maths for ML — Probability Basics
• Maths for ML — Random Variables and Distributions

python

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime
• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• Matplotlib — Complete Notes
• NumPy — Complete Notes
• Pandas — Series & DataFrame
• Practice Questions & Solutions
• Python — requests library
• Seaborn — Complete Notes

roadmap

• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn

seaborn

• Index & Roadmap — NumPy, Pandas, Matplotlib, Seaborn
• Practice Questions & Solutions
• Seaborn — Complete Notes

series

• Pandas — Series & DataFrame

statistical-plots

• Seaborn — Complete Notes

statistics

• Maths for ML — Descriptive Statistics
• Maths for ML — Inferential Statistics

string-ops

• Advanced Pandas — GroupBy, Merge, MultiIndex, DateTime

subplots

• Matplotlib — Complete Notes

svd

• Maths for ML — Eigenvalues, Eigenvectors, PCA and SVD

transformations

• Maths for ML — Linear Transformations

vectorization

• NumPy — Complete Notes

vectors

• Maths for ML — Vectors

visualization

• Matplotlib — Complete Notes
• Seaborn — Complete Notes