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Python Programming Basics

Python Variables & Data Types

Python Variables

Python Data Types

Python Control Flow

Nested Conditions

Python For Loop

Python While Loop

Python Continue

Python Data Structures

List Tuple Difference

Python Dictionary

Dictionary Methods

List Dictionary Difference

Set Dictionary Difference

Collection Differences

Python Functions

Python Builtins

Defining Functions

Function Arguments

Return Statement

Lambda Functions

Map, Filter, Reduce

Python Modules & Packages

Importing Modules

Standard Libraries

Creating Custom Modules

List Comprehension

Collection Module

Statistics Module

Python Packages & __init__.py

Using pip to Install Packages

Virtual Environments

Python Oops Concepts

Python Classes Objects

Instance vs Class Variables

Methods (Instance, Class, Static)

Access Modifiers

Magic / Dunder Methods

Exception Handling

Exception Handling

Built In Exceptions

Catch Multiple Exceptions

Raise Exception

Finally Keyword

Python Files I/O

Context Manager

Python Search Sort

Searching Algorithms

Sorting Algorithms

Advanced Python Topics

Command Line Args

Python Stacks Queues

Python Generators

Python High Order

Python Decorators

Python Magic Methods

Python Multiprocessing

Grid Search Python

Web Scraping Python

Send Email Python

Folium Google Maps

Gmail Api Python

Nse Tools Python

Environment Setup

Introduction To Numpy

Array From Data

Array Attributes

Advanced Indexing

Boolean Array Slicing

Array Manipulation

Array Splitting

Filtering Joining Arrays

Arithmetic Operations

Binary Operations

Element Wise Comparison

String Functions

Statistical Functions

Exponential Functions

Logarithmic Functions

Hyperbolic Functions

Polynomial Representation

Polynomial Operations

Chi Square Distribution

Logistic Distribution

Visualize Distribution

Series Attributes

Accessing Dataframe

Modifying Dataframe

Indexing Selecting

Boolean Indexing

Boolean Masking

Binary Comparison

Dataframe Arithmetic

Categorical Data

Comparing Categorical

Ordering Sorting Categorical

Sorting Reindexing

Unique Elements Count

Dropping Missing Data

Filling Missing Data

Interpolation Missing

Missing Data Calculations

Iteration Concatenation

Stacking Unstacking

Multi Index Basics

Multi Index Indexing

Dummy Variables

Matplotlib Library

Introduction To Library

Anaconda Distribution

Jupyter Notebook Integration

Matplotlib Vs Seaborn

Pyplot Api Overview

Simple Plot Creation

Line Plot Examples

Scatter Plot Examples

Box Plot Creation

Histogram Plotting

Pie Chart Creation

Threed Bar Plots

Threed Scatter Plots

Plotting With Keywords

Subplots Functionality

Subplot2grid Function

Markers Figures

Text Properties Styling

Working With Text Elements

Font Properties

Latex Text Formatting

Mathematical Expressions

Color Normalization

Heat Map Generation

Images Handling

Cursor Widget Usage

Annotated Cursor Functionality

Multi Cursor Functionality

Mouse Cursor Control

Polygon Selector Usage

Button Widget Interaction

Radio Button Options

Slider Widget Interaction

Range Slider Control

Ribbon Box Widget

Menu Widget Features

Object Oriented Interface

Multiprocessing Techniques

Print To Stdout

Toolkits Overview

Introduction Basics

Constants Definition

Mathematical Constants

Physical Constants

Unit Conversion Tools

Continuous Probability

Discrete Probability

Polynomial Interpolation 1d

Linear Interpolation 1d

Discontinuous Functions

Oscillatory Functions

Distance Metrics

Clustering Methods

Kmeans Clustering

Hierarchical Clustering

Single Integration

Double Integration

Triple Integration

Multiple Integration

Ordinary Ode Integration

Stochastic Ode Integration

Fast Fourier Transform

Discrete Fourier Transform

Fft Pack Utilities

Integration Module

Statistical Tests

Numpy Relationship

Survival Analysis Generation

Python Interview Prep

Freshers Programs

Experienced Professionals

Interview Prep Programs

Statistics Fundamentals

Data Science Foundation

Quantitative Data

Qualitative Categorical Data

Univariate Data

Multivariate Data

Population Sample

Sampling Techniques

Time Series Data

Cross Section Data

Measurement Scales

Graphical Representation

Central Tendency Measures

Am Gm Hm Relation

Arithmetic Mean

Mean Relationships

Geometric Mean Properties

Geometric Mean Uses

Weighted Geometric Mean

Skewness Measures

What Is Skewness

Dispersion Vs Skewness

Measurement Of Skewness

Karl Pearson Measure

Karl Pearson Measure Skewness

Bowleys Measure

Tests Of Skewness

Interpretation Skewness

Positive Skewness Right

Negative Skewness Left

Zero Skewness Symmetrical

Positive Negative Skewness

Bivariate Frequency

Definition Tablular Representation

Components Frequencies

Construction Frequency Table

Graphical Representation Visualization

Calculation Correlation Association

Advantages Description

Disadvantages Description

Probability Theorems

Probability Introduction

Addition Theorem

Complementary Events Theorem

Multiplication Independence Theorem

Total Probability Theorem

Probability Theorems

Tree Diagram Intro

Tree Diagram Features

Draw Tree Diagram

Tree Diagram Examples

Tree Diagram Probability

Tree Diagram Conditional

Bernoulli Distribution

Bernoulli Terminology

Bernoulli Trial

Bernoulli Properties

Bernoulli Formula

Bernoulli Mean Variance

Bernoulli Graph

Bernoulli Examples

Bernoulli Business Apps

Bernoulli Binomial Comparison

Binomial Distribution

Binomial Properties

Binomial Formula

Binomial Mean Variance

Binomial Examples

Binomial Business Uses

Binomial Real Scenarios

Binomial Vs Normal

Negative Binomial

Negative Binomial

Negative Binomial Properties

Negative Binomial Mean Variance

Negative Binomial Pdf

Negative Binomial Examples

Negative Binomial Business Applications

Hypergeometric Distribution

Probability Density Function

Mean And Variance

Hypergeometric Vs Binomial

Hypergeometric Examples

Poisson Distribution

Poisson Characteristics

Poisson Mean Variance

Poisson Examples

Fitting Poisson

Poisson Binomial Approximation

Normal Distribution

Normal Properties

Standard Normal

Normal Examples

Normal Parameters

Business Applications

Lognormal Distribution

Lognormal Curve

Lognormal Mean Variance

Lognormal Applications

Lognormal Examples

Normal Vs Lognormal

Gamma Distribution

Gamma Definition

Gamma Mean Variance

Chi Square Examples

Chi Square Special Case

Exponential Examples

Exponential Special Case

Joint Probability

Joint Probability Business

Joint Conditional Difference

Pdf Meaning Formula Graph

Probability Density Function

Inferential Statistics

Inferential Statistics Overview

Degrees Freedom

Central Limit Theorem

Parameters Vs Statistics

Test Statistics

Confidence Interval

Hypothesis Testing

Hypothesis Testing Guide

Null Hypothesis

Statistical Significance

Errors Type One Two

Hypothesis Decisions

Statistical Power

Chi Square Overview

Chi Square Test

Chi Square Goodness Fit

Chi Square Independence

Correlation Analysis

Correlation Coefficient

Pearson Correlation

Correlation Vs Causation

Covariance Vs Correlation

Regression Analysis

Regression T Test

Regression Anovas

Hypothesis Assumptions

Skewness Measure

Kurtosis Measure

Regression Line Definition

Regression Line Definition

Regression Line Equation

Regression Line Graphical

Regression Line Examples

Regression Line Types

Linear Regression

Logistic Regression

Polynomial Regression

Ridge Lasso Regression

Non Linear Regression

Multiple Regression

Exponential Regression

Pricewise Regression

Power Regression

Time Series Regression

Regression Applications 1

Regression Importance

Regression Statistical Significance

Regression Applications 2

Regression Practice

Linear algebra and Calculus

Intro to Linear Algebra

Scalars, Vectors, Matrices, Tensors

Matrix Operations

Addition, Multiplication, Transpose

Identity & Inverse

Vector Operations

Norms & Distance

Linear Independence & Rank

Linear Transformations

Rotations, Projections, Scaling

Eigenvalues & Eigenvectors

Geometric meaning

Diagonalization

Singular Value Decomposition (SVD)

Applications in ML

Word Embeddings

Dimensionality Reduction

Introduction to Calculus

Limits & Continuity

Differentiation

Derivatives rules

High-order derivatives

Applications of Derivatives

Maxima & Minima

Convexity & Concavity

Definite vs Indefinite Integrals

Area under curve

Partial Derivatives

Gradient & Hessian

Vector Calculus Basics

Divergence, Curl

Jacobian & Laplacian

Optimization Techniques

Gradient Descent

Learning Rate intution

Applications in ML/DL

Backpropagation

Machine Learning Intro

ML Introduction

Ml Introduction

Supervised Learning

Unsupervised Learning

Semi Supervised Learning

Reinforcement Learning

Python Data Preprocessing

Feature Scaling

Supervised Learning

Classification Regression

Linear Regression

Logistic Regression

Ensemble Learning

Gradient Boosting

Unsupervised Learning

Data Categories

Clustering Algorithms

K Means Clustering

Hierarchical Clustering

Dbscan Clustering

Gaussian Mixture Models (GMMs)

Dimensionality Reduction

Principal Component Analysis

Tsne Neighbor Embedding

UMAP (Uniform Manifold Approximation and Projection)

Association Rule Mining

Apriori Algorithm

Representation Learning

Autoencoders Neural Networks

Reinforcement Learning

Overview & Use Cases

Model Based Methods

Monte Carlo Methods

Model Free Methods

Deep Q Networks

Actor Critic Methods

Proximal Policy Optimization

Hidden Markov Models

Bayesian Networks

Model Evaluation and Tuning

Overview & Importance

Train-Test Split

Cross-Validation

Performance Metrics for Classification

Performance Metrics for Regression

Hyperparameter Tuning

Regularization Techniques

Overfitting & Underfitting

Model Selection Strategies

Semi Supervised Learning

Overview Use Cases

Techniques Explained

Self Training Process

Co Training Methods

Semi Supervised Svms

Graph Based Approaches

Variational Autoencoders

Generative Adversarial Networks

Self-Supervised Learning (SSL)

Overview & Use Cases

Contrastive Learning

Predictive / Pretext Tasks

Masked Autoencoders

BERT-style Masked Language Modeling

Context Prediction

Variational Autoencoders (VAE)

Applications in NLP

Applications in CV

Applications in Speech

Model Deployment

Overview & Introduction

Streamlit Deployment

Heroku Deployment

Versioning & Model Registry

Monitoring & Logging

Tensorflow Deep Learning

Introduction Setup

Install Tensorflow

Tensorflow Architecture

Tensorflow Basics

Tensor Data Structure

Tensor Dimensions

Tensor Handling

Convolutional Networks

Convolutional Neural Networks

Recurrent Networks

Tensorboard Visualization

Single Layer Perceptron

Linear Regression

Design Linear Regression Algorithm

Tflearn Installation

CNN , RNN Difference

Distributed Computing

Tensorflow Exporting

Tensorflow MLP Learning

Perceptron Hidden Layers

Tensorflow Optimizers

Gradient Descent Optimization

Tensorflow Image Recognition

Neural Network Recommendations

Natural Language Processing

Introduction NLP

Nlp Applications

Natural Language Understanding

Natural Language Generation

Huggingface Transformers

Text Normalization

Regular Expressions

Stopword Removal

Text Representation

One Hot Encoding

Ngram Language Modeling

Word Embeddings

Pretrained Embeddings

Document Embedding

Deep Learning NLP

Artificial Neural Networks

Recurrent Neural Networks

Long Short Term Memory

Gated Recurrent Unit

Transformer Models

Pretrained Models

Text Classification

Sentiment Analysis

Information Extraction

Machine Translation

Text Summarization

Text Generation

Turing Contributions

Statistical Ml Nlp

Deep Learning Nlp

Computer Vision Applications

Computer Vision Intro

Image Formation Fundamentals

Cv Applications

Satellite Imaging

Color Model Differences

Image Io Opencv Pil

Image Loading Saving

Image Processing

Convolution Filtering

Smoothing Techniques

Thresholding Histograms

Morphological Operations

Python Image Filters

Feature Extraction

Corner Detectors

Feature Descriptors

Local Binary Pattern

Speeded Up Robust Features

Keypoint Feature Matching

Brute Force Matching

Orb Feature Matching

Feature Detection Matching

Image Stitching

Geometric Vision

Camera Calibration

Perspective Calibration

Python Opencv Calibration

Epipolar Stereo

Stereo Depth Map

Depth Estimation

Transform Methods

Python Opencv Pose

Motion Tracking

Background Subtraction

Kalman Optical Flow

Tracking System

Classical Detection

Viola Jones Face Detection

Sliding Window Pyramid

Hog Svm Detection

CNN Introduction

Cnn Architectures

Cnn Layers Kernels Activation

Cnn Padding Intro

Tf Padding Comparison

Cnn Pooling Intro

Continuous Kernel Convolution

Dilated Convolution

Ml Strided Convolutions

Image Classification Pretrained Cnn

CNN Architectures

Convolutional Architectures

Googlenet Understanding

Inception Network V1

Residual Networks Intro

Residual Networks

Mobile Image Recognition

What Is Transfer Learning

Transfer Learning Intro

Nlp Pretrained Models

Representation Generative

Autoencoders Ml

How Autoencoders Work

Encoder Decoder Difference

Pytorch Autoencoder Implementation

Generative Adversarial Network

Deep Conv Gan Keras

Stylegan Overview

Deep Learning Detection

Data Annotation

Anchor Free Models

Yolov5 Hands On

Segmentation Models

Segmentation Use Cases

Mask Rcnn Model

Unet Biomedical Example

Ocr Fundamentals

Text Localization Detectors

Table Recognition

Invoice Data Extraction

Document Understanding Models

Vision Transformers

Attention Recap

Vision Transformer

Detr Object Detection

Vit Detr Custom

Model Optimization

Inference Frameworks

Model Optimization

Realtime Inference

Deploy Yolo Webcam

Capstone Projects

Defect Detection Manufacturing

License Plate Recognition

Retail Analytics

Document Workflow Automation

Advanced Topics

Face Recognition

3D Reconstruction

Augmented Reality

Tools Libraries

Image Processing Libraries

Deep Learning Frameworks

Object Detection Frameworks

Ocr And Nlp Libraries

Inference Acceleration

Image Processing

Computational Photography

Core Operations

Feature Detection

Object Detection

Python Bindings

MLOps Production Management

MLOps Introduction

Ml Vs Software Lifecycle

Devops Mlops Comparison

Mlops Benefits Challenges

Real World Mlops Architecture

Tools Technologies

Development Fundamentals

Ml Operations Tools

Cloud Ml Services

Model Development Versioning

Environment Setup

Dataset Versioning

Experiment Tracking

Model Automation

Testing Data Models

Model Packaging Deployment

Model Deployment Options

Model Serialization

Dockerize Ml Models

Docker Kubernetes Deploy

Rest Api Fastapi Flask

Model Monitoring Logging

Monitoring Tools

Mlflow Custom Logging

Drift Detection

Performance Alerts

Aws Sagemaker Pipelines

Azure Ml End To End

Gcp Vertex Ai Pipelines

Scaling Inference Tools

Model Registry Governance

Lifecycle Stages

Approval Workflows

Data Compliance

Data Science Linear algebra and Calculus Linear Algebra Vector OperationsNorms & Distance

Norms & Distance

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Last updated 4 weeks ago

Linear Independence & Rank

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