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Udemy - Machine Learning With Python - Complete Course and Projects

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Added 3 months ago by freecoursewb in Other
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Udemy - Machine Learning With Python - Complete Course and Projects (Size: 1.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Pandas
  1 - Pandas part 1 English.vtt 7.8 KB
  1 - Pandas part 1.mp4 63.3 MB
  10 - Lets apply what we learned Machine Learning Project Classification
  11 - Lets apply what we learned Machine Learning Project Regression
  12 - Bonus Section
  2 - Numpy
  3 - Feature Engineering
  10 - Label Encoding English.vtt 1.6 KB
  10 - Label Encoding.mp4 9 MB
  11 - One Hot Encoding English.vtt 1.5 KB
  11 - One Hot Encoding.mp4 13.1 MB
  12 - Outlier Detection English.vtt 3 KB
  12 - Outlier Detection.mp4 26 MB
  4 - Evaluation of the Model Performances
  13 - TrainTest Split English.vtt 2.5 KB
  13 - TrainTest Split.mp4 10 MB
  14 - MSE RMSE English.vtt 2.1 KB
  14 - MSE RMSE.mp4 10.5 MB
  15 - Confusion Matrix Accuracy Score English.vtt 2.7 KB
  15 - Confusion Matrix Accuracy Score.mp4 11 MB
  5 - Machine Learning Supervised vs Unsupervised
  16 - Supervised vs Unsupervised Machine Learning English.vtt 1.6 KB
  16 - Supervised vs Unsupervised Machine Learning.mp4 8.2 MB
  6 - Data Set Analysis Feature Engineering for Regression Tasks
  17 - Data Set.html 102.4 B
  18 - EDA English.vtt 3.6 KB
  18 - EDA.mp4 30.9 MB
  19 - Feature Engineering English.vtt 4 KB
  19 - Feature Engineering.mp4 34.4 MB
  7 - Data Set Analysis Feature Engineering for Classification Tasks
  20 - Data Set.html 102.4 B
  21 - EDA English.vtt 3.2 KB
  21 - EDA.mp4 26.1 MB
  22 - Feature Engineering English.vtt 2.5 KB
  22 - Feature Engineering.mp4 17.8 MB
  8 - Supervised Learning
  23 - Linear Regression English.vtt 1.6 KB
  23 - Linear Regression.mp4 9 MB
  24 - Linear Regression 2 English.vtt 2.6 KB
  24 - Linear Regression 2.mp4 8.4 MB
  25 - Linear Regression 3 English.vtt 1.3 KB
  25 - Linear Regression 3.mp4 4.2 MB
  26 - Linear Regression Coding English.vtt 4 KB
  26 - Linear Regression Coding.mp4 33.1 MB
  27 - Logistic Regression English.vtt 1.3 KB
  27 - Logistic Regression.mp4 5.4 MB
  28 - Logistic Regression Coding English.vtt 4.6 KB
  28 - Logistic Regression Coding.mp4 27.6 MB
  29 - K Nearest Neighbors English.vtt 2.3 KB
  29 - K Nearest Neighbors.mp4 9.6 MB
  30 - KNearest Neighbors Coding Elbow Method English.vtt 5.2 KB
  30 - KNearest Neighbors Coding Elbow Method.mp4 45.9 MB
  31 - KNearest Neighbors Coding English.vtt 2.6 KB
  31 - KNearest Neighbors Coding.mp4 33.2 MB
  32 - Support Vector Machines English.vtt 1.5 KB
  32 - Support Vector Machines.mp4 8 MB
  33 - Support Vector Classifier Coding English.vtt 3.3 KB
  33 - Support Vector Classifier Coding.mp4 45.3 MB
  34 - Support Vector Regression Coding English.vtt 5.4 KB
  34 - Support Vector Regression Coding.mp4 52.8 MB
  35 - Decision Tree English.vtt 1.2 KB
  35 - Decision Tree.mp4 5.1 MB
  36 - Decision Tree Coding English.vtt 2.6 KB
  36 - Decision Tree Coding.mp4 14.7 MB
  37 - Random Forest English.vtt 1.1 KB
  37 - Random Forest.mp4 5.8 MB
  38 - Random Forest Regression Coding English.vtt 4.9 KB
  38 - Random Forest Regression Coding.mp4 43.5 MB
  39 - Random Forest Classification Coding English.vtt 2.6 KB
  39 - Random Forest Classification Coding.mp4 56 MB
  9 - Unsupervised Learning
  40 - Kmeans Clustering English.vtt 2.3 KB
  40 - Kmeans Clustering.mp4 9.8 MB
  41 - Kmeans Clustering Coding English.vtt 3.3 KB
  41 - Kmeans Clustering Coding.mp4 14.9 MB
  car_data.csv 21.7 KB
  Stores.csv 22 KB
  8 - Feature Scaling English.vtt 2.1 KB
  8 - Feature Scaling.mp4 11.9 MB
  9 - Feature Scaling in Python English.vtt 2.4 KB
  9 - Feature Scaling in Python.mp4 24.2 MB
  5 - Numpy Introduction to Arrays English.vtt 3 KB
  5 - Numpy Introduction to Arrays.mp4 12.7 MB
  6 - Array Indexing English.vtt 2.5 KB
  6 - Array Indexing.mp4 8.8 MB
  7 - Array Slicing and Array Iterating English.vtt 4.6 KB
  7 - Array Slicing and Array Iterating.mp4 17.6 MB
  50 - bonus lecture.html 1.2 KB
  46 - Data Set.html 102.4 B
  47 - Data Analysis English.vtt 8.1 KB
  47 - Data Analysis.mp4 123.2 MB
  48 - Feature Engineering English.vtt 2.4 KB
  48 - Feature Engineering.mp4 13.4 MB
  49 - Machine Learning English.vtt 6.1 KB
  49 - Machine Learning.mp4 116.1 MB
  Real estate.csv 21.5 KB
  42 - Data Set.html 102.4 B
  43 - Data Analysis English.vtt 3.4 KB
  43 - Data Analysis.mp4 24.4 MB
  44 - Data Analysis II Feature Engineering English.vtt 3.6 KB
  44 - Data Analysis II Feature Engineering.mp4 28 MB
  45 - Machine Learning English.vtt 6.5 KB
  45 - Machine Learning.mp4 144.3 MB
  CourseData.csv 3.1 MB
  2 - Pandas part 2 English.vtt 8.5 KB
  2 - Pandas part 2.mp4 93.6 MB
  3 - Pandas Coding 1 English.vtt 1.5 KB
  3 - Pandas Coding 1.mp4 7.5 MB
  4 - Pandas Coding 2 English.vtt 1.5 KB
  4 - Pandas Coding 2.mp4 8.9 MB

Description


Machine Learning With Python - Complete Course & Projects

https://WebToolTip.com

Last updated 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.30 GB | Duration: 4h 19m

Learn Machine Learning Algorithms and their Python Implementations. Learn the core concepts in Machine Learning.

What you'll learn
Learn Data Science
Learn the theories behind the Machine Learning Algorithms
Learn applying the Machine Learning Algorithms in Python
Learn feature engineering
Learn Python fundamentals
Learn Data Analysis

Requirements
No requirements. Just willingness to learn is enough.

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