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Data Science Roadmap
Numpy
Benefits of using NumPy
Creating NumPy ndarrays
Using Built-in Functions to Create ndarrays
Accessing, Deleting, and Inserting Elements Into ndarrays
Slicing ndarrays
Boolean Indexing, Set Operations, and Sorting
Arithmetic operations and Broadcasting
Glossary
Numpy Mini Project
Numpy Mini Project
pandas
Datasets
pandas basics
creating pandas series
Accessing and Deleting Elements in Pandas Series
Arithmetic Operations on Pandas Series
Creating Pandas DataFrames
Accessing Elements in Pandas DataFrames
Dealing with NaN
Loading Data into a pandas DataFrame
Glossary
Pandas Mini-Project
Matplotlib and Seaborn
DataSet
Lesson Overview
Bar Charts
Absolute vs Relative Frequency
Counting Missing Data
Pie Charts
Histograms
Figures, Axes, and Subplots
Choosing a Plot for Discrete Data
Descriptive Statistics, Outliers, and Axis Limits
Scales and Transformations
Glossary
Extra: Kernel Density Estimation
Practice
Datasets
Scatterplots and Correlation
Overplotting, Transparency, and Jitter
Heat Maps
Violin Plots
Box Plots
Clustered Bar Charts
Faceting
Adapted Bar Charts
Line Plots
Lession Summary
Practice
Linear Algebra
Working with Equations
SkLearn
PreProcessing
Data Cleaning
Feature Selection
Transformations
Machine Learning
Advance Data Cleaning
Linear Regression
Least Square Classification
SGD Regressor
Logistic Regression
Perceptron Classification
Naive Bayes
K-Nearest Neighbors
SVM
Decision Tree
Bagging and Random forest
Boosting
K-Means
Multilayer Perceptron Layer
Bias report
Artificial intelligence
Neural Networks
Fine-Tuning Neural Networks
Convolutional Neural Networks
Deep Learning Project
Natural language processing
Natural language processing 2
Neural Network for NLP
Stable Diffusion
Free Resources
Discussion Page
tackle AI with Shriyash
Bagging and Random forest
Bagging and Random forest
Colab
Linear Algebra Implementation (For Advance Learners)
Colab
Google Sites
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