Udemy - Python for Machine Learning Project based Master course
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1.1 GB
- Uploaded Byfreecoursewb
- Downloads75
- Last checkedFeb. 07th '22
- Date uploadedFeb. 04th '22
- Seeders 3
- Leechers3
Infohash : 30017007439F3337B527D24DDF92BE6AF7763598
Python for Machine Learning Project based Master course 
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 lectures (3h 10m) | Size: 924.7 MB
Learn Machine Learning using Python, Regression, Decision Trees, SVM, Numpy, Pandas, Scikit-Learn, Matplotlib streamlit
What you'll learn
Use Python for Data Science and Machine Learning
Create Machine Learning projects webapp using streamlit
Learn to use Pandas for Data analysis
Implement Scikit-Learn for Machine Learning projects
Linear Regression
Learn to use Matplotlib for Python Plotting
Random Forest and Decision Trees
Support Vector Machines
Learn to use NumPy for Numerical Data
Requirements
None
Files:
[ DevCourseWeb.com ] Udemy - Python for Machine Learning Project based Master course- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 - Introduction
- 001 Introduction.mp4 (19.8 MB)
- 001 Introduction_en.srt (0.2 KB)
- 001 Start-up Project.mp4 (23.7 MB)
- 001 Start-up Project_en.srt (4.0 KB)
- 002 Installation of Python libraries.mp4 (55.6 MB)
- 002 Installation of Python libraries_en.srt (9.1 KB)
- 003 Title and Navigation.mp4 (43.9 MB)
- 003 Title and Navigation_en.srt (8.5 KB)
- 004 Image and Load Data.mp4 (44.7 MB)
- 004 Image and Load Data_en.srt (6.5 KB)
- 005 Interactive and Non-Interactive plots.mp4 (45.0 MB)
- 005 Interactive and Non-Interactive plots_en.srt (6.3 KB)
- 006 Graph plots adjusted.mp4 (69.4 MB)
- 006 Graph plots adjusted_en.srt (8.5 KB)
- 007 Interactive slide connected to plots.mp4 (63.3 MB)
- 007 Interactive slide connected to plots_en.srt (8.6 KB)
- 008 Prediction using Linear progression on Plots.mp4 (93.7 MB)
- 008 Prediction using Linear progression on Plots_en.srt (11.6 KB)
- 009 Changing Image.mp4 (13.4 MB)
- 009 Changing Image_en.srt (1.5 KB)
- 010 Contribution to Data (Primary Data as .CSV).mp4 (136.0 MB)
- 010 Contribution to Data (Primary Data as .CSV)_en.srt (17.5 KB)
- 011 Further tips on Python Streamlit.mp4 (28.7 MB)
- 011 Further tips on Python Streamlit_en.srt (3.7 KB)
- 001 Project Setup and Streamlit Introduction.mp4 (19.3 MB)
- 001 Project Setup and Streamlit Introduction_en.srt (2.8 KB)
- 002 Title and Side bar.mp4 (61.3 MB)
- 002 Title and Side bar_en.srt (8.8 KB)
- 003 Shape of Datasets and Number of Classes.mp4 (56.5 MB)
- 003 Shape of Datasets and Number of Classes_en.srt (7.5 KB)
- 004 Select Dataset and Keys.mp4 (70.2 MB)
- 004 Select Dataset and Keys_en.srt (8.7 KB)
- 005 Streamlit Classifiers and dealing with Errors.mp4 (104.3 MB)
- 005 Streamlit Classifiers and dealing with Errors_en.srt (11.3 KB)
- 006 Classifiers Accuracy Score.mp4 (51.0 MB)
- 006 Classifiers Accuracy Score_en.srt (6.1 KB)
- 007 Plotting the Dataset.mp4 (53.6 MB)
- 007 Plotting the Dataset_en.srt (5.3 KB)
- 001 Create a BMI Calculator (Only look at the code below if not sure).html (1.5 KB)
- 002 BMI Calculator video (Explanation of the code).mp4 (102.3 MB)
- 002 BMI Calculator video (Explanation of the code)_en.srt (11.9 KB)
- Bonus Resources.txt (0.4 KB)
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