| 1 - Introduction to Course.mp4 | 12.4 MB | ||
| 10 - Introduction to Pandas Library.mp4 | 34.7 MB | ||
| 11 - Working with Pandas DataFrames.mp4 | 24.1 MB | ||
| 12 - Slicing and Indexing with Pandas.mp4 | 21.7 MB | ||
| 13 - Create DataFrame and Explore Dataset.mp4 | 75.2 MB | ||
| 14 - Data Analysis with Pandas DataFrame.mp4 | 98.5 MB | ||
| 15 - Other Useful Methods in Pandas Library.mp4 | 45.4 MB | ||
| 16 - Introduction to Matplotlib.mp4 | 15.8 MB | ||
| 17 - Customizing Line Plots.mp4 | 29.4 MB | ||
| 18 - Create Plot Using DataFrame.mp4 | 21.7 MB | ||
| 19 - Standard Scaler to Scale the Data.mp4 | 16 MB | ||
| 2 - What is Machine Learning.mp4 | 27.9 MB | ||
| 20 - Encoding Categorical Data.mp4 | 45.3 MB | ||
| 21 - Sklearn Pipeline and Column Transformer.mp4 | 36.7 MB | ||
| 22 - Evaluation Metrics in Sklearn.mp4 | 17.8 MB | ||
| 23 - Linear Regression.mp4 | 42.5 MB | ||
| 24 - Evaluation of Linear Regression Model.mp4 | 30 MB | ||
| 25 - Polynomial Regression.mp4 | 19.9 MB | ||
| 26 - Polynomial Regression Continued.mp4 | 95.9 MB | ||
| 27 - Sklearn Pipeline Polynomial Regression.mp4 | 62.3 MB | ||
| 28 - Decision Tree Classifier.mp4 | 36.8 MB | ||
| 29 - Decision Tree Evaluation.mp4 | 43.4 MB | ||
| 3 - Life Cycle.mp4 | 11 MB | ||
| 30 - Random Forest.mp4 | 18.9 MB | ||
| 31 - Support Vector Machines.mp4 | 91.4 MB | ||
| 32 - Kmeans Clustering.mp4 | 10.7 MB | ||
| 33 - KMeans Clustering Hands On.mp4 | 46.9 MB | ||
| 34 - Data Loading and Analysis.mp4 | 25.2 MB | ||
| 35 - Dimensionality Reduction with PCA.mp4 | 52.4 MB | ||
| 36 - Hyper Parameter Tuning.mp4 | 59.6 MB | ||
| 37 - Summary.mp4 | 3.7 MB | ||
| 38 - Introduction to Course.mp4 | 11.9 MB | ||
| 39 - Getting System Ready.mp4 | 52.8 MB | ||
| 4 - Introduction to Numpy Library.mp4 | 18.7 MB | ||
| 40 - Read and Write Images.mp4 | 40.9 MB | ||
| 41 - Resize and Crop.mp4 | 36.4 MB | ||
| 42 - Working with Shapes.mp4 | 72 MB | ||
| 43 - Working with Text.mp4 | 10.2 MB | ||
| 44 - PreRequisite for Face Detection.mp4 | 71.7 MB | ||
| 45 - Detect the Face.mp4 | 51 MB | ||
| 46 - Introduction to Deep Learning with Tensorflow.mp4 | 65.5 MB | ||
| 47 - Model Building.mp4 | 59.5 MB | ||
| 48 - Training the Mask Detector.mp4 | 25.4 MB | ||
| 49 - Saving the Best Model.mp4 | 8.7 MB | ||
| 5 - Creating Arrays from Scratch.mp4 | 14.6 MB | ||
| 50 - Basic Front End Design of App.mp4 | 65.7 MB | ||
| 51 - File Upload Interface for App.mp4 | 49.6 MB | ||
| 52 - App Prep.mp4 | 87.8 MB | ||
| 53 - App Build and Testing.mp4 | 106.7 MB | ||
| 54 - AWS Deployment.mp4 | 103.9 MB | ||
| 55 - AWS Deployment Continued.mp4 | 26.3 MB | ||
| 56 - Introduction to Pima Indians Diabetes Using Machine Learning.mp4 | 9.5 MB | ||
| 57 - Installation of Anaconda.mp4 | 19.4 MB | ||
| 58 - Installation of Libraries.mp4 | 24.7 MB | ||
| 59 - Steps in Machine Learning.mp4 | 14.3 MB | ||
| 6 - Creating Arrays from Scratch Continued.mp4 | 16.7 MB | ||
| 60 - Dataset and Logistic Regression.mp4 | 35.2 MB | ||
| 61 - Pima Classification.mp4 | 54.5 MB | ||
| 62 - Exclude the Header.mp4 | 115.8 MB | ||
| 63 - Conversion of String into Number.mp4 | 81.3 MB | ||
| 64 - Split the Dataset.mp4 | 130 MB | ||
| 65 - Check the ROC.mp4 | 44.7 MB | ||
| 7 - Array Indexing and Slicing.mp4 | 25.7 MB | ||
| 8 - Numpy Array Functions and Shape Modification.mp4 | 30.6 MB | ||
| 9 - Mathematical Operations on Numpy Arrays.mp4 | 23.1 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 67 total files | |||
Machine Learning With Python 2024
https://CourseWikia.com
Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.71 GB | Duration: 8h 1m
Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!
What you'll learn
learn how to use data science and machine learning with Python.
Understand Machine Learning from top to bottom.
Learn NumPy for numerical processing with Python.
Create supervised machine learning algorithms to predict classes.
Requirements
No prior knowledge of machine learning required. Basic knowledge of Python
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Udemy - Spark Machine Learning Project (House Sale Price Prediction) Posted by
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| 234.3 MB | SeedHash | 1 week | 23 | 7 | |
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