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[DesireCourse.Net] Udemy - Complete Python Developer in 2020 Zero to Mastery
21. Machine Learning + Data Science
1. Section Overview.srt
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11. Machine Learning 1.srt
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8. Data Science 1.srt
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3. Python Basics
1. Learning Python.srt
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7. Bonus! Supervised Learning Project in Python Part 1.srt
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[OneHack.Us] Coursera - Programming for Designers Specialization
Creative-coding-for-designers-using-python
01_project-1-particle-systems
01_course-introduction
06_introduction-to-our-learning-environment.en.srt
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7. Bonus! Supervised Learning Project in Python Part 1.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
21. Intuition Behind Linear Regression- Part 3.srt
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10. Intuition Behind Random Forest Part-1.srt
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16. Intuition Behind Decision Tree- Part 4.srt
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1. Introduction to Business Problem & Dataset.srt
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29. How to Cross Validate your model.srt
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14. Intuition Behind Decision Tree- Part 2.srt
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17. Intuition Behind Decision Tree- Part 5.srt
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15. Intuition Behind Decision Tree- Part 3.srt
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7. Perform Label Encoding on data.srt
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28. Intuition Behind Cross Validation- Part 2.srt
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22. Intuition Behind KNN- Part 1.srt
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6. Handle Categorical Data & Feature Encoding.srt
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3. Understanding Data & data-preprocessing.srt
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16.2 KB
19. Intuition Behind Linear Regression- Part 1.srt
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11. Intuition Behind Random Forest Part-2.srt
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4. Extract Derived Features from Data.srt
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12. Applying Random Forest on Data & Automate predictions.srt
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13. Intuition Behind Decision Tree- Part 1.srt
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20. Intuition Behind Linear Regression- Part 2.srt
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27. Intuition Behind Cross Validation- Part 1.srt
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7. Bonus! Supervised Learning Project in Python Part 1.srt
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7. Bonus! Supervised Learning Project in Python Part 1.srt
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19. Python 101 Beginner friendly Python
1. Learning Python 2 vs Python 3.srt
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4. Machine Learning with Python
1. Supervised vs. Unsupervised Learning, and TrainTest.srt
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1. Introduction
1. Introduction to the Course Why we're learning Python and Tableau.srt
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[DesireCourse.Net] Udemy - Machine Learning A-Zâ„¢ Hands-On Python & R In Data Science
1. Welcome to the course!
1. Applications of Machine Learning.srt
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10. Installing R and R Studio (Mac, Linux & Windows).srt
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9.15 KB
3. Why Machine Learning is the Future.srt
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9.23 KB
7. Updates on Udemy Reviews.srt
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4.04 KB
8. Installing Python and Anaconda (Mac, Linux & Windows).srt
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12.3 KB
10. Evaluating Regression Models Performance
1. R-Squared Intuition.srt
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7.17 KB
12. Logistic Regression
1. Logistic Regression Intuition.srt
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23.94 KB
3. Logistic Regression in Python - Step 1.srt
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9. Logistic Regression in R - Step 1.srt
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8.92 KB
13. K-Nearest Neighbors (K-NN)
1. K-Nearest Neighbor Intuition.srt
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8.04 KB
14. Support Vector Machine (SVM)
1. SVM Intuition.srt
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15. Kernel SVM
1. Kernel SVM Intuition.srt
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4.41 KB
16. Naive Bayes
1. Bayes Theorem.srt
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34.45 KB
17. Decision Tree Classification
1. Decision Tree Classification Intuition.srt
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12.87 KB
18. Random Forest Classification
1. Random Forest Classification Intuition.srt
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7.05 KB
19. Evaluating Classification Models Performance
1. False Positives & False Negatives.srt
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2. -------------------- Part 1 Data Preprocessing --------------------
1. Welcome to Part 1 - Data Preprocessing.srt
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10. Feature Scaling.srt
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11. And here is our Data Preprocessing Template!.srt
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2. Get the dataset.srt
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1. Intro to Machine Learning with Python - Uploaded by Snorgared - SAnet.ST
1. What is Machine Learning.srt
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2. Machine Learning Terminology.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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2. Environment Set-Up
1. Python Environment Setup.srt
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21.25 KB
4. Python Crash Course
1. Welcome to the Python Crash Course Section!.srt
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3. Python Crash Course - Part 1.srt
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27.25 KB
5. Python for Data Analysis - NumPy
1. Welcome to the NumPy Section!.srt
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6. Python for Data Analysis - Pandas
1. Welcome to the Pandas Section!.srt
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4. DataFrames - Part 1.srt
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8. Python for Data Visualization - Matplotlib
1. Welcome to the Data Visualization Section!.srt
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3. Matplotlib Part 1.srt
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9. Python for Data Visualization - Seaborn
1. Introduction to Seaborn.srt
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10. Python for Data Visualization - Pandas Built-in Data Visualization
1. Pandas Built-in Data Visualization.srt
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20.81 KB
11. Python for Data Visualization - Plotly and Cufflinks
1. Introduction to Plotly and Cufflinks.srt
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12. Python for Data Visualization - Geographical Plotting
1. Introduction to Geographical Plotting.srt
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1.36 KB
2. Choropleth Maps - Part 1 - USA.srt
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13. Data Capstone Project
1. Welcome to the Data Capstone Projects!.srt
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614 B
3. 911 Calls Solutions - Part 1.srt
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7. Finance Project - Solutions Part 1.srt
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15. Linear Regression
1. Linear Regression Theory.srt
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3. Linear Regression with Python - Part 1.srt
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10 Python Courses For Beginners 2020 [UdemyLibrary.com]
EasyPy3 - Python for Beginners [UdemyLibrary.com]
2. Learning the Basics
1. Your First Code.srt
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10.83 KB
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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12.86 KB
3. Python Practical of the Course.srt
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8.96 KB
1. Introduction to the Course.srt
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4.1 KB
4. Your Feedback and Review.srt
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2.44 KB
10. Dimensionality Reduction
1. The Curse of Dimensionality.srt
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15.94 KB
11. Deep Learning Overview
1. Introduction to Deep Neural Networks (DNN).srt
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11.46 KB
12. Hands-on Machine Learning Project Using Scikit-Learn
1. Principal Component Analysis (PCA) with Python.srt
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13. OPTIONAL Section- Mathematics Wrap-up
1. Mathematical Wrap-up on Machine Learning.srt
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2. Why Machine Learning
1. Machine Learning Applications-Part 1.srt
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3. Process of Learning from Data
1. Supervised Learning.srt
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11.87 KB
4. Machine Learning Methods
1. Features.srt
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5. Data Preparation and Preprocessing
1. Handling Image Data.srt
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9.31 KB
6. Machine Learning Models and Optimization
1. Machine Learning Model 1.srt
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7. Building Machine Learning Model from Scratch
1. Linear Regression from Scratch- Part 1.srt
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3. Minimun-to-mean Distance Classifier from Scratch- Part 1.srt
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5. K-means Clustering from Scratch- Part 1.srt
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8. Overfitting, Underfitting and Generalization
1. Overfitting Introduction.srt
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9. Machine Learning Model Performance Metrics
1. The Accuracy.srt
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25 - Data Preprocessing in Python
013 Step 1 - Machine Learning Data Prep Splitting Dataset Before Feature Scaling.srt
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016 Step 1 - How to Apply Feature Scaling for Preprocessing Machine Learning Data.srt
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03. Python Programming for Data Science and Machine Learning
11. [Python] - Functions - Part 1 Defining and Calling Functions.srt
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Udemy - The Complete Python Developer 2024-12
21 - Machine Learning + Data Science
009 Data Science 1_en.srt
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012 Machine Learning 1_en.srt
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Real World Python Test Automation with Pytest (Django app)
[TutsNode.com] - Real World Python Test Automation with Pytest
1. Introduction Course topics, learning tips
1. Course Topics.srt
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2. About the instructor (Corona Virus Edition).srt
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3. How get the best of Udemy.srt
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4. How I suggest Watching the course.srt
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Complete Python Developer in 2020 Zero to Mastery
Complete Python Developer in 2020 Zero to Mastery
21 Machine Learning Data Science
286 Data Science 1-en.srt
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289 Machine Learning 1-en.srt
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[FreeTutorials.Us] Master Computer Vision OpenCV4 in Python with Deep Learning
1. Course Introduction and Setup
1. Introduction.srt
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2. Introduction to Computer Vision and OpenCV.srt
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4.49 KB
3. About this course.srt
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8.08 KB
5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.srt
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6.16 KB
6. Installation of OpenCV & Python on Windows.srt
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12.86 KB
9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.srt
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2.46 KB
10. Computational Photography & Make a License Plate Reader
1. Mini Project # 12 - Photo-Restoration.srt
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9.27 KB
11. Conclusion
1. Course Summary and how to become an Expert.srt
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4.61 KB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine
1. Setup your Deep Learning Virtual Machine.srt
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14.55 KB
2. Intro to Handwritten Digit Classification (MNIST).srt
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3. Intro to Multiple Image Classification (CIFAR10).srt
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13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks
1. Neural Networks Chapter Overview.srt
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2.09 KB
6. Training Part 1 – Loss Functions.srt
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14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)
1. Convolutional Neural Networks Chapter Overview.srt
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1.49 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras
1. Introduction to Keras & Tensorflow.srt
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1.33 KB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier
1. Data Augmentation Chapter Overview.srt
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1.48 KB
2. Basics of Computer Vision and OpenCV
1. What are Images.srt
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3.37 KB
3. Image Manipulations & Processing
1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.srt
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3.46 KB
15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.srt
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7.5 KB
4. Image Segmentation & Contours
1. Segmentation and Contours - Extract Defined Shapes In Your Image.srt
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[FreeAllCourse.Com] Udemy - Deep Learning A-Zâ„¢ Hands-On Artificial Neural Networks
1. Welcome to the course
4. Installing Python.srt
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1. Machine Learning with Python.srt
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[FreeAllCourse.Com] Udemy - Machine Learning A-Zâ„¢ Hands-On Python & R In Data Science
1. Welcome to the course!
1. Applications of Machine Learning.srt
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5.3 KB
10. Installing R and R Studio (Mac, Linux & Windows).srt
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9.15 KB
3. Why Machine Learning is the Future.srt
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9.23 KB
7. Updates on Udemy Reviews.srt
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4.04 KB
8. Installing Python and Anaconda (Mac, Linux & Windows).srt
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12.3 KB
10. Evaluating Regression Models Performance
1. R-Squared Intuition.srt
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7.17 KB
12. Logistic Regression
1. Logistic Regression Intuition.srt
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23.94 KB
3. Logistic Regression in Python - Step 1.srt
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8.76 KB
9. Logistic Regression in R - Step 1.srt
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8.92 KB
13. K-Nearest Neighbors (K-NN)
1. K-Nearest Neighbor Intuition.srt
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8.04 KB
14. Support Vector Machine (SVM)
1. SVM Intuition.srt
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15.72 KB
15. Kernel SVM
1. Kernel SVM Intuition.srt
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4.41 KB
16. Naive Bayes
1. Bayes Theorem.srt
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34.45 KB
17. Decision Tree Classification
1. Decision Tree Classification Intuition.srt
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12.87 KB
18. Random Forest Classification
1. Random Forest Classification Intuition.srt
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7.05 KB
19. Evaluating Classification Models Performance
1. False Positives & False Negatives.srt
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11.29 KB
2. -------------------- Part 1 Data Preprocessing --------------------
1. Welcome to Part 1 - Data Preprocessing.srt
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2.52 KB
10. Feature Scaling.srt
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23.47 KB
11. And here is our Data Preprocessing Template!.srt
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14.15 KB
2. Get the dataset.srt
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10.69 KB
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Deep Learning Prerequisites The Numpy Stack in Python (V2+)
[TutsNode.com] - Deep Learning Prerequisites
10 Effective Learning Strategies for Machine Learning (FAQ by Student Request)
048 Machine Learning and AI Prerequisite Roadmap (pt 1).en.srt
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Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com]
Course
3. Python Programming for Data Science and Machine Learning
11. [Python] - Functions - Part 1 Defining and Calling Functions.srt
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10.49 KB
1. Windows Users - Install Anaconda.srt
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8.78 KB
4. Introduction to Optimisation and the Gradient Descent Algorithm
8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).srt
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42.99 KB
6. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1
11. [Python] - Generator Functions & the yield Keyword.srt
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22.32 KB
19. Tokenizing, Removing Stop Words and the Python Set Data Structure.srt
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19.07 KB
25. [Python] - Logical Operators to Create Subsets and Indices.srt
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26. Word Clouds & How to install Additional Python Packages.srt
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11.97 KB
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Complete Python Developer in 2020 Zero to Mastery
21 Machine Learning Data Science
280 Data Science 1-en.srt
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283 Machine Learning 1-en.srt
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[DesireCourse.Net] Udemy - Deep Learning A-Zâ„¢ Hands-On Artificial Neural Networks
1. Welcome to the course
4. Installing Python.srt
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16.3 KB
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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
18. K-means
1. Unsupervised Machine Learning Intro.srt
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29.36 KB
9. Machine Learning
1. Introduction To Machine Learning.srt
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36.98 KB
8. Python Data Visualization
1. Data Visualization Overview.srt
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36.78 KB
1. Introduction
6. How To Get a Data Science Job.srt
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30.62 KB
5. What is a Data Scientist.srt
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26.86 KB
7. Data Science Projects Overview.srt
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19.09 KB
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
16. Ensemble Learning and Random Forests
6. Implementing Random Forests from scratch Part 1.srt
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30.12 KB
7. Pandas Data Analysis
1. Introduction to Pandas.srt
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22.3 KB
10. Data Loading & Exploration
1. Exploratory Data Analysis.srt
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19.07 KB
6. NumPy Data Analysis
1. Intro NumPy Array Data Types.srt
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18.29 KB
15. Decision Trees
4. The Decision Tree ID3 algorithm from scratch Part 1.srt
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14.91 KB
13. Linear and Logistic Regression
1. Linear Regression Intro.srt
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12.16 KB
11. Data Cleaning
1. Feature Scaling.srt
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11.58 KB
4. Statistics for Data Science
1. Intro To Statistics.srt
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11.17 KB
20. Data Science Career
1. Creating A Data Science Resume.srt
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10.52 KB
12. Feature Selecting and Engineering
1. Feature Engineering.srt
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9.42 KB
3. Python For Data Science
1. What is Programming.srt
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9.03 KB
17. Support Vector Machines
1. SVM Outline.srt
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7.4 KB
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Natural Language Processing Real-World Projects in Python
[TutsNode.com] - Natural Language Processing Real-World Projects in Python
2. Project 1--Predict the sentiments of Amazon Customer
9. Automate your NLP model & Machine Learning Model.srt
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16.99 KB
12. Applying algorithms of NLP & Machine Learning.srt
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8.98 KB
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Python for Data Science
[TutsNode.com] - Python for Data Science
1. Introduction to Machine Learning and It’s Technologies
1. Segment - 02-introduction-to-data-science-fin.srt
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Python for Data Science and Data Analysis
[TutsNode.com] - Python for Data Science and Data Analysis
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Deep Learning Advanced Computer Vision (GANs, SSD, +More!)
[TutsNode.com] - Deep Learning Advanced Computer Vision (GANs, SSD, +More!)
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[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp
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2. Course Help and Welcome.srt
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10. Python for Data Visualization - Pandas Built-in Data Visualization
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1. Introduction to Geographical Plotting.srt
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1. KNN Theory.srt
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Text Analysis and Natural Language Processing With Python
09 Machine Learning and Deep learning For Text Data
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Unsupervised Machine Learning Hidden Markov Models in Python
[TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python
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2. Unsupervised or Supervised.srt
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3. Where to get the Code and Data.srt
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4. Anyone Can Succeed in this Course.srt
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2. Markov Models
1. The Markov Property.srt
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3. Markov Models Example Problems and Applications
1. Example Problem Sick or Healthy.srt
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4. Hidden Markov Models for Discrete Observations
1. From Markov Models to Hidden Markov Models.srt
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5. The Forward-Backward Algorithm (part 1).srt
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10. HMM Training (part 1).srt
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5. Discrete HMMs Using Deep Learning Libraries
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6. HMMs for Continuous Observations
1. Gaussian Mixture Models with Hidden Markov Models.srt
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7. HMMs for Classification
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8. Bonus Example Parts-of-Speech Tagging
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12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)
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Udemy - Complete Machine Learning and Data Science Zero to Mastery
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7. Bonus! Supervised Learning Project in Python Part 1.srt
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Python Bootcamp 2020 - Build 15 working Applications and Games
[TutsNode.com] - Python Bootcamp 2020 - Build 15 working Applications and Games
1. Introduction
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