تحميل ML and Data Science

Computer Science
2024-11-23

روابط التحميل

لمشاهدة الكورس مباشر بدون تحميل اضغط هنا

عدد الدروس 38

قسم Computer Science

يوجد صيانة لقسم تحميل الدورات لذلك يمكنك مشاهدة الدورة بشكل مباشر من هنا بدلا من التحميل لحين الانتهاء من صيانة القسم

• Lec 1 Introduction to Data Science ML Roadmap to Learn Data Science ML

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• Lec 2 Supervised Learning Algorithms Machine Learning

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• Lec 3 Introduction to Regression with Real Life Examples

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• Lec 4 Linear Regression with Real life examples Calculations Easiest Explanation

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• Lec 5 Logistic Regression with Simplest Easiest Example Machine Learning

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• Lec 6 Linear Regression Vs Logistic Regression Supervised Learning Machine Learning

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• Lec 7 kNN Classification with Real Life Example Movie Imdb Example Supervised Learning

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• Lec 8 Naive Bayes Classification Full Explanation with examples Supervised Learning

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• Lec 9 Introduction to Decision Tree with Real life examples

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• Lec 10 Decision Tree ID3 Algorithm with Example Calculations

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• Conditional Probability with Easiest Explanation Example

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• Introduction to Ensemble Learning with Real Life Examples Machine Learning

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• K mean Clustering with Numerical Example Unsupervised Learning Machine Learning

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• Hierarchical Clustering Agglomerative vs Divisive with examples

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• Single Linkage Clustering Agglomerative Clustering Hierarchical Clustering

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• Complete Linkage Clustering with Example Clustering in Unsupervised Learning ML

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• K medoids Clustering with Numerical Example Machine Learning

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• Random Forest in Machine Learning

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• kNN for Classified Regression with Easiest Explanation Machine Learning

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• Mean Median Mode with Real Life examples Machine Learning

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• Standard Deviation Variance with Examples

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• Bagging Bootstrap Aggregating in Machine Learning with examples

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• Supervised vs Unsupervised learning with real life example

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• Python code for Mean Median Mode SD Variance and Range

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• How Weights are Increased in Boosting Ensemble Learning

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• BAGGING vs BOOSTING vs STACKING in Ensemble Learning Machine Learning

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• Bayes Theorem Total Probability with Examples

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• Cross Validation in Machine Learning with Examples

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• Pearson s Correlation Coefficient Supervised Learning Data Science Machine Learning

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• kNN k Nearest Neighbour Numerical Example Supervised Learning Machine Learning

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• Decision Tree Example Calculate Entropy Information Gain Supervised Learning

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• Single Linkage Clustering Example Unsupervised Learning Machine Learning

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• Token Parameters in LLama3 META Models 8B 70B Parameters Model GPT model

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• What is Data Preprocessing Data Cleaning Various Techniques with Example

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• How to Deal with Missing Values in DataSet Data Preprocessing Data Cleaning Imputation Methods

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• kNN Imputation with Examples Data Preprocessing and Data Cleaning

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• Fit Transform Method Data Preprocessing Machine Learning

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• Feature Extraction in Data preprocessing Machine Learning

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Nithyasri R

Great course

2026-03-06

Shivani Bhoyar

This course is very helpful,i learned lots of things from this .

2025-09-12

Pratham Parab

The concept was great.

2025-07-25

Biplab Sutradhar

Best for Beginner.

2025-06-25

RAHMAN MUSTAFIZUR

NON

2025-05-13

Kateryna Vavryniuk

Really helpful

2025-04-10

Mrs P.Murugeswari

Good

2025-03-27

Rajkumar Devarajan

Excellent

2025-03-27

Samruddhi Nichal

Helpful course

2025-01-15

Animesh Paramanik

This a great course to learn ML and DS , thank you for this .

2025-01-03

Shaik Gohar Nasheen

Nice

2024-12-30

Azeez Aqeel

Good

2024-12-27