Data Science LLM Gen AI Transformers

Python Programming Basics

Python Variables & Data Types

Python Variables

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Python Control Flow

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Map, Filter, Reduce

Python Modules & Packages

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Python Packages & __init__.py

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Python Oops Concepts

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Introduction To Numpy

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Iteration Concatenation

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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

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Pie Chart Creation

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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

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Button Widget Interaction

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Print To Stdout

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Introduction Basics

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Python Interview Prep

Freshers Programs

Experienced Professionals

Interview Prep Programs

Statistics Fundamentals

Data Science Foundation

Qualitative Categorical Data

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Measurement Scales

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Central Tendency Measures

Am Gm Hm Relation

Arithmetic Mean

Mean Relationships

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Geometric Mean Uses

Weighted Geometric Mean

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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

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Probability Theorems

Probability Introduction

Addition Theorem

Complementary Events Theorem

Multiplication Independence Theorem

Total Probability Theorem

Probability Theorems

Tree Diagram Intro

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Draw Tree Diagram

Tree Diagram Examples

Tree Diagram Probability

Tree Diagram Conditional

Bernoulli Distribution

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Bernoulli Trial

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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 Parameters

Normal Properties

Standard Normal

Normal Examples

Business Applications

Lognormal Distribution

Lognormal Curve

Lognormal Mean Variance

Lognormal Examples

Normal Vs Lognormal

Lognormal Applications

Gamma Distribution

Chi Square Examples

Chi Square Special Case

Exponential Examples

Exponential Special Case

Gamma Definition

Gamma Mean Variance

Joint Probability

Pdf Meaning Formula Graph

Probability Density Function

Joint Conditional Difference

Joint Probability Business

Regression Line Definition

Regression Line Definition

Regression Line Equation

Regression Line Graphical

Regression Line Examples

Regression Line Types

Linear Regression

Logistic Regression

Multiple Regression

Polynomial Regression

Non Linear Regression

Exponential Regression

Power Regression

Pricewise Regression

Ridge Lasso Regression

Regression Applications 1

Regression Applications 2

Regression Importance

Regression Statistical Significance

Regression Practice

Time Series Regression

Hypothesis Testing

Null Hypothesis

Hypothesis Testing Guide

Hypothesis Decisions

Errors Type One Two

Statistical Significance

Statistical Power

Inferential Statistics

Inferential Statistics Overview

Parameters Vs Statistics

Central Limit Theorem

Confidence Interval

Degrees Freedom

Test Statistics

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

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

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

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 Deployment

Overview & Introduction

Streamlit Deployment

Heroku Deployment

Versioning & Model Registry

Monitoring & Logging

Tensorflow Deep Learning

Introduction Setup

Install Tensorflow

Tensorflow Architecture

Tflearn Installation

Tensorflow Basics

Tensor Data Structure

Tensor Dimensions

Tensor Handling

Tensorboard Visualization

Linear Regression

Design Linear Regression Algorithm

Tensorflow Optimizers

Gradient Descent Optimization

Single Layer Perceptron

Perceptron Hidden Layers

Tensorflow MLP Learning

Neural Network Recommendations

Convolutional Networks

Convolutional Neural Networks

Recurrent Networks

CNN , RNN Difference

Tensorflow Image Recognition

Tensorflow Exporting

Distributed Computing

Natural Language Processing

Introduction NLP

Nlp Applications

Turing Contributions

Statistical Ml Nlp

Deep Learning Nlp

Natural Language Understanding

Natural Language Generation

Text Classification

Sentiment Analysis

Information Extraction

Machine Translation

Text Summarization

Text Generation

Text Normalization

Regular Expressions

Stopword Removal

Text Representation

One Hot Encoding

Ngram Language Modeling

Word Embeddings

Pretrained Embeddings

Document Embedding

Pretrained Models

Huggingface Transformers

Deep Learning NLP

Artificial Neural Networks

Recurrent Neural Networks

Long Short Term Memory

Gated Recurrent Unit

Transformer Models

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

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

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

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

Advanced Topics

Face Recognition

3D Reconstruction

Augmented Reality

Classical Detection

Viola Jones Face Detection

Sliding Window Pyramid

Hog Svm Detection

Deep Learning Detection

Data Annotation

Anchor Free Models

Yolov5 Hands On

Segmentation Models

Segmentation Use Cases

Mask Rcnn Model

Unet Biomedical Example

Motion Tracking

Background Subtraction

Kalman Optical Flow

Tracking System

Ocr Fundamentals

Text Localization Detectors

Table Recognition

Invoice Data Extraction

Document Understanding Models

Model Optimization

Inference Frameworks

Model Optimization

Realtime Inference

Deploy Yolo Webcam

Geometric Vision

Camera Calibration

Perspective Calibration

Python Opencv Calibration

Epipolar Stereo

Stereo Depth Map

Depth Estimation

Transform Methods

Python Opencv Pose

Representation Generative

Autoencoders Ml

How Autoencoders Work

Encoder Decoder Difference

Pytorch Autoencoder Implementation

Generative Adversarial Network

Deep Conv Gan Keras

Stylegan Overview

Vision Transformers

Attention Recap

Vision Transformer

Detr Object Detection

Vit Detr Custom

Capstone Projects

Defect Detection Manufacturing

License Plate Recognition

Retail Analytics

Document Workflow Automation

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 Registry Governance

Lifecycle Stages

Approval Workflows

Data Compliance

Model Automation

Testing Data Models

Model Packaging Deployment

Model Deployment Options

Model Serialization

Dockerize Ml Models

Docker Kubernetes Deploy

Rest Api Fastapi Flask

Aws Sagemaker Pipelines

Azure Ml End To End

Gcp Vertex Ai Pipelines

Scaling Inference Tools

Model Monitoring Logging

Monitoring Tools

Mlflow Custom Logging

Drift Detection

Performance Alerts

Data Science Python Programming Basics Python FunctionsMap, Filter, Reduce

Map, Filter, Reduce

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