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1. Introduction Machine Learning.srt
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1 - Introduction
2 - Python 3 (Optional)
3 - Installation of OS
4 - Circuit
5 - GPIO (Basic)
6 - GPIO (Intermediate)
7 - Image Processing (OpenCV 4)
8 - Machine Learning (Object Detection)
56. What is Machine Learning.en_US.srt
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57. About Haar Cascade.en_US.srt
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58. Face Detection.en_US.srt
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Introduction to Artificial Intelligence
2 - The Rise of Machine Learning
1. Machine learning.srt
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6.01 KB
6 - Machine Learning Algorithms
1. Common algorithms.srt
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6.08 KB
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1 - Quick Start
2 - Essential Web Fundamentals
3 - First Practical Project
4 - Learning to Program with Javascript
5 - Introduction to Back-End
34. Creating a Server in your machine.en_US.srt
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1 - Introduction
2 - Introduction to Quantum Computing
3 - Fundamentals of Quantum Programming
4 - Practical Learning of Amazon Braket
23. Quantum Machine Learning on Amazon Braket.en_US.srt
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1. Introduction to machine learning.srt
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1. Introduction to machine learning.srt
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1. Introduction to the Titanic - Machine Learning from Disaster Competition.srt
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1. Introduction to machine learning.srt
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1. Introduction to AWS
13. Intro to Analytics and Machine Learning.srt
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Data Science Real World Projects in Python
[TutsNode.com] - Data Science Real World Projects in Python
2. Project 1-- Predict Fare of Airlines Tickets using Machine Learning
1. Introduction to Business Problem & Dataset.srt
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2.03 KB
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Machine Learning Made Easy - Beginner to Advanced using R
Machine Learning Made Easy - Beginner to Advanced using R
1. Introduction to R
1. Getting Started.srt
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6.97 KB
2. R Environment.srt
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3. R Packages.srt
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4. R Data types Vectors.srt
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5. R Data Frames.srt
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6. List.srt
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7. Factor and Matrix.srt
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8. R History and Scripts.srt
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9. R Functions.srt
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10. Errors.srt
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2. Data Handling in R
1. Introduction to Data Handling.srt
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2.17 KB
3. Basic Statistics and Graph
1. Introduction and Sampling.srt
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4. Data Cleaning and Treatment
1. Introduction to Data Cleaning and Model Building Cycle.srt
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5. Linear Regression
1. Introduction and Correlation.srt
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7. Decision Tree
1. Introduction to Decision Tree and Segmentation.srt
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8. Model Selection and Cross Validation
1. Introduction to Model Selection.srt
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9. Neural Networks
1. Introduction and Logistic Regression Recap.srt
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10. Support Vector Machines
1. Introduction to SVM.srt
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11. Ensamble Learning, Random Forest and Boosting
1. Introduction to Bagging RF Boosting.srt
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967 B
12. Cluster Analysis
1. Introduction to Clustering via Segmentation.srt
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002. Chapter 1. Toward deep learning - a machine-learning introduction.en.srt
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1 - Introduction
1. What is Machine Learning.en_US.srt
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1. What is Machine Learning.vi_VN.srt
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3. The Supervised Machine Learning Model.en_US.srt
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3. The Supervised Machine Learning Model.vi_VN.srt
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4. iOS and Machine Learning.en_US.srt
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4. iOS and Machine Learning.vi_VN.srt
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1 - Introduction and Outline
10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)
11 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)
76. How to Succeed in this Course (Long Version).en_US.srt
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77. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.en_US.srt
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78. Machine Learning and AI Prerequisite Roadmap (pt 1).en_US.srt
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79. Machine Learning and AI Prerequisite Roadmap (pt 2).en_US.srt
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12 - Appendix FAQ Finale
80. BONUS.en_US.srt
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2 - The High-Level Picture
4. Real-World Examples of A B Testing.en_US.srt
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5. What is Bayesian Machine Learning.en_US.srt
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13.9 KB
3 - Bayes Rule and Probability Review
10. The Monty Hall Problem.en_US.srt
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11. Maximum Likelihood Estimation - Bernoulli.en_US.srt
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12. Click-Through Rates (CTR).en_US.srt
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13. Maximum Likelihood Estimation - Gaussian (pt 1).en_US.srt
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14. Maximum Likelihood Estimation - Gaussian (pt 2).en_US.srt
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15. CDFs and Percentiles.en_US.srt
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16. Probability Review in Code.en_US.srt
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17. Probability Review Section Summary.en_US.srt
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18. Remedial Statistics vs Machine Learning.en_US.srt
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19. Suggestion Box.en_US.srt
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6. Review Section Introduction.en_US.srt
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7. Probability and Bayes' Rule Review.en_US.srt
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8. Calculating Probabilities - Practice.en_US.srt
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Data Science Practical Automated Machine Learning(Auto ML)
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)
4. Auto Sklearn Part2
1. Introduction to credit card fraud detection.srt
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3. Auto Sklearn Part 1
1. Introduction to mobile price prediction.srt
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1. Introduction to Machine Learning.srt
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01 - Introduction
02 - 1. An Overview of Full-Stack Deep Learning
03 - 2. MLOps with MLflow
01 - Machine learning operations (MLOps).srt
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04 - 3. Model Training and Evaluation Using MLflow
05 - 4. Hyperparameter Tuning with Optuna
06 - 5. Model Deployment and Predictions
01 - Setting up MLflow on the local machine.srt
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02 - Workaround to get model artifacts on local machine.srt
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1. Introduction to Machine Learning with SciKit Learn.srt
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1. Introduction to Machine Learning Overview Section.srt
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College Level Neural Nets [I] - Basic Nets Math & Practice!
[TutsNode.com] - College Level Neural Nets [I] - Basic Nets Math & Practice!
1. Introduction To Machine Learning
1. Promo Video.srt
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2. Introduction To Machine Learning.srt
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[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp
1. Course Introduction
1. Introduction to the Course.srt
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2. Course Help and Welcome.srt
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1.15 KB
9. Python for Data Visualization - Seaborn
1. Introduction to Seaborn.srt
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11. Python for Data Visualization - Plotly and Cufflinks
1. Introduction to Plotly and Cufflinks.srt
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5.47 KB
12. Python for Data Visualization - Geographical Plotting
1. Introduction to Geographical Plotting.srt
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19. Decision Trees and Random Forests
1. Introduction to Tree Methods.srt
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10 Python Courses For Beginners 2020 [UdemyLibrary.com]
Machine Learning Crash Course for Beginners using Python [UdemyLibrary.com]
1. Introduction to the Course
2. Focus of the Course.srt
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3. Python Practical of the Course.srt
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1. Introduction to the Course.srt
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4. Your Feedback and Review.srt
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2.44 KB
11. Deep Learning Overview
1. Introduction to Deep Neural Networks (DNN).srt
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8. Overfitting, Underfitting and Generalization
1. Overfitting Introduction.srt
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1. Introduction to Machine Learning.srt
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7. Ensemble Machine Learning
1. Ensemble Learning Methods Introduction.srt
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[FreeTutorials.Us] Master Computer Vision OpenCV4 in Python with Deep Learning
1. Course Introduction and Setup
5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.srt
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6.16 KB
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[DesireCourse.Net] Udemy - iOS 13 & Swift 5 - The Complete iOS App Development Bootcamp
23. CoreML and Machine Learning
1. Introduction to Machine Learning.srt
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25. CreateML - Building Your Own Machine Learning Model from Scratch
1. Introduction to CreateML.srt
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1. Introduction to Machine Learning and ISLR.srt
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01. Introduction
02. 1. Understanding Generative AI, LLMs, and Foundation Models
03. 2. GPUs and Scalable AI Compute Systems
04. 3. AI Software, Virtualization, and Data Centre Foundations
04. Machine learning and deep learning frameworks.srt
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1. Introduction to Machine Learning.srt
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[FreeTutorials.Us] Udemy - Feature Engineering for Machine Learning
1. Introduction
1. Introduction.srt
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2. Course curriculum overview.srt
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3. Course requirements.srt
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10. Feature Scaling
1. Feature scaling Introduction.srt
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4. Missing Data Imputation
1. Introduction to missing data imputation.srt
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6. Categorical Variable Encoding
1. Categorical encoding Introduction.srt
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7. Variable Transformation
1. Variable Transformation Introduction.srt
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8. Discretisation
1. Discretisation Introduction.srt
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14. Introduction to Machine Learning
1. Welcome to the Machine Learning Section!.srt
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1. Introduction to machine learning.srt
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1. Introduction to Machine Learning.srt
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1. Introduction to Machine Learning.srt
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1. Introduction to Artificial Intelligence and Machine Learning.srt
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1. Introduction Machine Learning.srt
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1. Introduction to Machine Learning.srt
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1. Introduction to Machine Learning.srt
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1. Introduction to Machine Learning.srt
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20. Project-19 Check Happiness Ranking Using Machine Learning
1. Introduction.srt
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21. Project-20 Predicting Forest Fire - Machine Learning
1. Introduction.srt
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1. Introduction to Machine Learning.srt
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1. Introduction to Machine Learning.srt
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1. Introduction to Machine Learning.srt
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1. Introduction to Pima Indians Diabetes Using Machine Learning-en_US.srt
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1. Introduction to Machine Learning in FinanceBanking-en_US.srt
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1. Introduction to Machine Learning for Price Prediction-en_US.srt
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1. Introduction to Machine Learning Part One.srt
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1. Introduction to Machine Learning.srt
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2021 Python for Data Science & Machine Learning from A-Z
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z
9. Machine Learning
1. Introduction To Machine Learning.srt
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1. Introduction
6. How To Get a Data Science Job.srt
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5. What is a Data Scientist.srt
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26.86 KB
7. Data Science Projects Overview.srt
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4. Data Science Job Roles.srt
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15.73 KB
2. Data Science + Machine Learning Marketplace.srt
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10.4 KB
3. Data Science Job Opportunities.srt
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6.86 KB
1. Who is This Course For.srt
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3.95 KB
7. Pandas Data Analysis
1. Introduction to Pandas.srt
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22.3 KB
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1. Introduction to machine learning.srt
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Cluster Analysis & Unsupervised Machine Learning in R
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R
1. Introduction
2. What is Machine Leraning and it's main types.srt
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3. Overview of Machine Leraning in R.srt
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1. Introduction.srt
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9. Applied Example unsupervised K-means learning for mapping applications
1. Understanding using satellite images for mapping tasks short introduction.srt
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8. Independent Project in Cluster Analysis based on Case Study
1. Introduction to Case Study.srt
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