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Udemy - 200 Days The Complete Pro AIMLDL & Data Science Bootcamp 2025-7

0 students Last updated Aug 2025

About the course

Udemy - 200 Days The Complete Pro AIMLDL & Data Science Bootcamp 2025-7

Course content

Sections: 230

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Activities: 1

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Resources: 232

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1 Data Science

1 Data Science Part 2

1 AIML End to End Data Science Vs Traditional Analysis

1 Data Scientist

1 Data Science Process Overview

1 Introduction to Python for Data Science AIML

1 Data Science Process Overview End to End AIML

1 Python Libraries for Data Science AIML

1 Introduction to R for Data Science AIML

1 R Programmig Basics AIML

1 Introduction to Python Programming AIML

1 Introduction to Python Programming Part 2

1 Data Structures and Functions in Python AIML

1 End to End Python for AIML Data Structures and Functions

1 Working with Libraries and Handling Files

1 Python Introduction to Numpy AIML

1 Introduction to R Programming AIML

1 Introduction to R Programming AIML End to End

1 Data Structures in R AIML

1 Data Structures in R AIML End to End Sesssion

1 R Programming AIML

1 R Programming AIML Part 2

1 Introduction to Data Collection Methods AIML

1 Introduction to Data Collection Methods Experimental Studies

1 Data Preprocessing AIML

1 Data Preprocessing AIML

1 Introduction to Exploratory Data Analysis EDA

1 EDA Detecting Outliers and Anomalies in Data for AIML

1 Data Visualization in Data Science for AIML

1 Choosing the Right Visualization for Data in AIML

1 Introduction to Statistical Analysis for Data Science

1 Inferential Statistics for Hypothesis Testing Confidence

1 Introduction to Data Science Tools and Software AIML

1 Tableau and Data Visualization AIML

1 Data Wrangling in Data Science AIML

1 Data Wrangling EDA in Data Science

1 Data Integration Transformation for Data Science

1 Handling Missing Data and Outliers AIML

1 Introduction to Machine Learning AIML

1 ML Unsupervised Learning AIML

1 Supervised Learning Regression

1 Evaluation Metrics for Regression Models

1 Supervised Learning Classification

1 Supervised Learning Decision Trees

1 Unsupervised Learning Clustering

1 Unsupervised Learning DBSCAN Clustering

1 Unsupervised Learning Dimensionality Reduction

1 Unsupervised Learning Dimensionality Reduction with t SNE

1 Model Evaluation and Validation Techniques

1 Model Evaluation Bias Variance Tradeoffs

1 Introduction to Python Libraries for Data Science

1 Introduction to Python Libraries for Data Science

1 Introduction to R Libraries for Data Science

1 Introduction to R Libraries for Data Science Statistical Modeling

1 Introduction to SQL for Data Science

1 SQL Queries for Data Science

1 SQL and Advanced Queries

1 SQL and Advanced Queries Part 1

1 SQL and Advanced Queries Part 2

1 Data Science in Practice Case Study

1 Introduction to Data Science Ethics

1 Introduction to Data Science Ethics

1 Ethical Challenges in Data Collection and Curation

1 Data Science Project Lifecycle

1 Feature Engineering and Selection

1 Application Working with Data Science

1 Application Working with Data Science Data Manipulation

1 Introduction to Machine Learning

1 Machine Learning Reinforcement Learning

1 Introduction to Supervised Learning

1 Machine Learning Model Training and Evaluation

1 Machine Learning Linear Regression

1 Machine Learning Evaluating Model Fit

1 Application of Machine Learning Supervised Learning

1 Introduction to Multiple Linear Regression

1 Multiple Linear Regression Evaluating Model Performance

1 Machine Learning Application Multiple Linear Regression
2 Machine Learning Application Multiple Linear Regression

1 Machine Learning Feature Engineering Logistic Regression

1 Machine Learning Application Logistic Regression

1 Machine Learning Decision Trees

1 Machine Learning Evaluating Decision Trees Performance

1 Machine Learning Application Decision Trees

1 Machine Learning Random Forests

1 Master Machine Learning Hyperparameter Tuning

1 Machine Learning Decision Trees Random Forest

1 Master Machine Learning Support Vector Machines SVM

1 Master Machine Learning Kernel Functions in Support Vector Machine

1 Machine Learning Application Support Vector Machines SVM

1 Machine Learning K Nearest Neighbor KNN Algorithm

1 Machine Learning Preprocessing for KNN Algorithm

1 Machine Learning Application KNN Algorithm

1 Machine Learning Gradient Boosting Algorithm

1 Master Hyperparameter Tuning in Machine Learning

1 Machine Learning Application of Gradient Boosting

1 Machine Learning Model Evaluation Metrics

1 Machine Learning ROC Curve and AUC Explained

1 Unsupervised Machine Learning Explained Clustering Dimensionality Reduction

1 Unsupervised Learning Explained Anomaly Detection

1 Mastering K Means Clustering in Unsupervised Learning

1 Iterating K Means Clustering Algorithm in Unsupervised ML

1 Application of K Means Clustering Algorithm in Unsupervised ML

1 Mastering Hierarchical Clustering in Unsupervised Learning

1 Unsupervised Learning Dendrogram Visualization

1 Application Hierarchical Clustering Explained Master Unsupervised ML

1 Advanced Clustering Techniques Unsupervised Learning

1 Advanced Clustering Techniques Unsupervised Learning

1 Application Advanced Unsupervised Learning with DBSCAN

1 Introduction to Principal Component Analysis PCA

1 Selecting Principal Component Analysis PCA ML

1 Application of Principal Components in PCA ML

1 Unsupervised Learning with Linear Discriminant Analysis LDA

1 PCA vs LDA Machine Learning Dimensionality Reduction

1 Application of LDA Machine Learning Dimensionality Reduction

1 Unsupervised Learning with t SNE Mastering Dimensionality Reduction

1 Unsupervised Learning How t SNE Works

1 Application of t SNE Mastering Dimensionality Reduction

1 Unsupervised Learning Model Evaluation Metrics

1 Dimensionality Reduction Evaluation Metrics

1 Unsupervised Learning Hyperparameter Tuning

1 Unsupervised Learning with Bayesian Optimization

1 Introduction to Association Rule Mining Market Basket Analysis

1 Association Rule Mining Confidence Support Explained

1 Apriori Algorithm Association Rule Mining Market Basket Analysis

1 Apriori Algorithm Step by Step Explained

1 FP Growth Algorithm Explained

1 FP Growth Algorithm Step by Step Exploration

1 Model Evaluation Metrics for Association Rule Mining

1 Leverage and Certainty Factor in Association Rule Mining

1 Application of Association Rules in Data Science

1 What is Reinforcement Learning

1 What is Deep Reinforcement Learning

1 Markov Decision Processes MDPs in Reinforcement Learning

1 Solving Markov Decision Processes MDPs

1 Introduction to Q Learning Algorim AIML

1 Applications of Q Learning Algorithm

1 Policy Value Actor Critic Architecture in Reinforcement Learning

1 Policy Gradient Method in Reinforcement Learning

1 Model Evaluation Metrics for Reinforcement Learning

1 Model Evaluation Metrics for Reinforcement Learning

1 Applications of Reinforcement Learning

1 Introduction to Deep Learning

1 Applications of Deep Learning in Real World Scenarios

1 Artificial Neural Networks The Backbone of Deep Learning

1 Backpropagation The Heart of Artificial Neural Networks

1 Applications of Artificial Neural Networks ANN

1 Convolutional Neural Networks CNN Explained

1 Applications of Convolutional Neural Networks CNN

1 Convolutional Neural Network CNN Deep Dive

1 Introduction to Recurrent Neural Networks RNN

1 Vanishing and Exploding Gradient Problem in Deep Learning

1 Applications of Recurrent Neural Networks RNN

1 Long Short Term Memory Networks LSTM Simplified

1 Applications of LSTM in Data Science

1 Applcation Short Term Memory LSTM

1 Gating Mechanisms In GRU AIML

1 Applications of Gated Recurrent Unit GRU Networks

1 GANs The Future of Data Generation

1 Applications of GANs Revolutionizing AI

1 Generative Adversarial Networks GANs

1 Generative Adversarial Networks GANs

1 Choosing the Right Pre Trained Model for Your AI Project

1 Applications of Transfer Learning in AI

1 Model Evaluation Techniques for Deep Learning

1 Deep Learning Confusion Matrix Explained

1 Introduction to Computer Vision

1 Deep Learning Models for Computer Vision

1 Image Processing with Deep Learning

1 Computer Vision Image Segmentation Explained

1 Image Features and Detection for Computer Vision

1 SIFT Scale Invariant Feature Transform Explained

1 Object Detection in Computer Vision

1 Datasets and Benchmarks in Computer Vision

1 Segmentation in Computer Vision

1 Supervised Segmentation Methods in Computer Vision

1 Unlocking the Power of Optical Character Recognition OCR

1 Handwriting Recognition vs Printed Text

1 Facial Recognition and Analysis in Computer Vision

1 Facial Recognition Algorithms and Techniques

1 Camera Models and Calibrations in Computer Vision

1 Camera Calibration Process in Computer Vision

1 Motion Analysis and Tracking in Computer Vision

1 3D Vision and Reconstruction in Computer Vision

1 Segmentation and Grouping Moving Objects

1 Stereoscopic Vision and Depth Perception in Computer Vision

1 Applications of Computer Vision

1 Applications of Image Segmentation in Computer Vision

1 Real Time Case Study Applications of Computer Vision

1 Introduction to Model Evaluation in Deep Learning

1 Intersection Over Union IoU in Deep Learning

1 Introduction to NLP

1 Bag of Words and TF IDF Explained

1 Text Preprocessing Preparing Data for NLP

1 Text Normalization Techniques in NLP Deep Learning

1 Word Embeddings in NLP Word2Vec GloVe

1 Application of Word Embeddings in NLP

1 NLP Models and Techniques Explained

1 Language Models and Embeddings

1 Recurrent Neural Networks RNN in NLP

1 Sequence to Sequence Modeling with RNN in NLP

1 LSTM vs GRU for NLP Understanding Recurrent Neural Networks

1 GRU Architecture Functionality in NLP

1 Attention Mechanism Transformers in NLP

1 Transformer Architecture and Components

1 Natural Language Generation NLG

1 NLG Techniques and Approaches in NLP

1 Transfer Learning in NLP Mastering NLP

1 Fine Tuning Pre Trained Models in NLP Mastering AI Model

1 NLP Tasks with Examples Applications

1 NLP Capstone Project AIMLDL

1 Model Evaluation Metrics for NLP

1 Perplexity Measuring Language Model Performance

1 Introduction to Generative Ai

1 How Generative AI Works End to End

1 Text Generation Using Generative AI

1 Challenges and Limitations of Current Text Generation AI
2 Retrieval Augmented Generation RAG in AI Enhancing Model

1 How RAG Works with LLMs Mastering Retrieval Augmented

1 Introduction to Image Generation Using GenAI

1 Introduction to Image Generation Using GenAI

1 Music and Art Creation Using Generative AI

1 Enhancing Artists Workflow with Iterative Gen AI

1 Transformer Architecture in Generative AI

1 Modeling Long Range Dependencies in Text Generation AI

1 Fine Tuning Pre Trained Models for Generative AI

1 Techniques for Domain Specific Fine Tuning in Generative AI

1 Multimodal Generative Models Explained

1 Multimodal Retrieval Augmented Generation RAG

1 Ethical Considerations in Generative AI

1 Enforcing Accountability Responsibility in AI Model

1 Chatbot with LangChain OpenAI

1 Evaluation Metrics for GenAI Models Explained

Instructors

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Udemy - 200 Days The Complete Pro AIMLDL & Data Science Bootcamp 2025-7

Udemy - 200 Days The Complete Pro AIMLDL & Data Science Bootcamp 2025-7

Course modified date: 19 Aug 2025

Udemy - 200 Days The Complete Pro AIMLDL & Data Science Bootcamp 2025-7

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