Udemy - Fast-Track Machine Learning in Python and ChatGPT

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[ DevCourseWeb.com ] Udemy - Fast-Track Machine Learning in Python and ChatGPT
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Setting Up Your Data Analysis Platform
    • 1. Install Python and Jupyter Notebook.html (0.2 KB)
    • 1.1 Mac.pdf (1.5 MB)
    • 1.2 Windows.pdf (929.7 KB)
    • 2. Setting Up ChatGPT for Easy Machine Learning.html (0.2 KB)
    • 2.1 Instructions of setting up ChatGPT.pdf (409.1 KB)
    2. What is Machine Learning
    • 1. Machine Learning and Its Characteristics.mp4 (10.6 MB)
    • 2. Complete Machine Learning Work-flow.mp4 (9.4 MB)
    • 3. Practice datasets.html (0.3 KB)
    • 4. Instructions for Quizzes IMPORTANT.html (0.3 KB)
    3. Master Data Cleaning for Error-free ML Model
    • 1. Load your dataset into Python environment.mp4 (39.1 MB)
    • 2. Handling missing values with Scikit-learn.mp4 (81.1 MB)
    • 3. Identify and deal with inconsistent data.mp4 (61.7 MB)
    • 4. Dealing with miss-identified data types.mp4 (40.3 MB)
    • 5. Address and remove duplicated data.mp4 (28.2 MB)
    • 6. QUIZ 1 Data Cleaning.html (0.2 KB)
    • 7. Solution 1 Data Cleaning.html (0.1 KB)
    • 7.1 Data Cleaning (Solution).ipynb (34.8 KB)
    4. Master Data Manipulation for Strong ML Model
    • 1. Sorting and arranging dataset.mp4 (30.9 MB)
    • 2. Filter data based on conditions.mp4 (71.7 MB)
    • 3. Merging or adding of supplementary variables.mp4 (31.1 MB)
    • 4. Concatenating or adding of supplementary data.mp4 (31.3 MB)
    • 5. QUIZ 2 Data Manipulation.html (0.2 KB)
    • 6. Solution 2 Data Manipulation.html (0.1 KB)
    • 6.1 Data Manipulation (Solution).ipynb (85.4 KB)
    5. Master Data Preprocessing for Perfect ML Model
    • 1. Feature engineering Generating new data.mp4 (103.9 MB)
    • 2. Extracting day, months, year from date variable.mp4 (32.4 MB)
    • 3. Feature encoding Assigning numeric values.mp4 (33.4 MB)
    • 4. Creating dummy variables for nominal data.mp4 (47.2 MB)
    • 5. Data standardizing and normalizing with StandardScaler.mp4 (84.6 MB)
    • 6. Splitting data into training and testing set.mp4 (38.7 MB)
    • 7. QUIZ 3 Data Preprocessing.html (0.2 KB)
    • 8. Solution 3 Data Preprocessing.html (0.1 KB)
    • 8.1 Data Preprocessing (Solution).ipynb (138.0 KB)
    6. Hands-on Machine Learning Application Part 1 Regression
    • 1. Read It IMPORTANT.html (0.7 KB)
    • 2. Linear regression ML model.mp4 (115.9 MB)
    • 3. Decision Tree regression ML model.mp4 (57.2 MB)
    • 4. Random Forest regression ML model.mp4 (56.6 MB)
    • 5. Support Vector regression ML model.mp4 (42.7 MB)
    • 6. XGBoost regression ML model.mp4 (48.1 MB)
    • 7. QUIZ 4 ML Model Application Part 1.html (0.2 KB)
    • 8. Solution 4 ML Model Application Part 1.html (0.1 KB)
    • 8.1 ML model application Part 1 (Solution).ipynb (515.6 KB)
    7. Hands-on Machine Learning Application Part 2 Classification
    • 1. Read It IMPORTANT.html (0.3 KB)
    • 2. Logistic Regression ML model.mp4 (139.3 MB)
    • 3. Decision Tree classification ML model.mp4 (77.4 MB)
    • 4. Random Forest classification ML model.mp4 (68.7 MB)
    • 5. K Nearest Neighbours classification ML model.mp4 (120.5 MB)
    • 6. LightGBM classification ML model.mp4 (81.7 MB)
    • 7. QUIZ 5 ML Model Application Part 2.html (0.2 KB)
    • 8. Solution 5 ML Model Application Part 2.html (0.1 KB)
    • 8.1 ML model application Part 2 (Solution).ipynb (695.7 KB)
    8. Hands-on Machine Learning Application Part 3 Clustering
    • 1. KMeans Clustering ML model.mp4 (127.7 MB)
    • 2. Final QUIZ ML Model Application Part 3.html (0.2 KB)
    • 3. Final Solution Fast-Track ML in Python & ChatGPT.html (0.0 KB)
    • 3.1 Fast-Track ML in Python & ChatGPT (Solution).ipynb (750.1 KB)
    9. Tips, Tricks and Resources
    • 1. ChatGPT Your best code companion.mp4 (60.2 MB)
    • 2. Course resources.html (0.0 KB)
    • 2.1 Complete ML workflow.pptx (47.6 KB)
    • 2.2 ML.pptx (39.9 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Fast-Track Machine Learning in Python & ChatGPT

https://DevCourseWeb.com

Published 10/2023
Created by Md Shahriar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 42 Lectures ( 4h 46m ) | Size: 1.73 GB

Hands-on Machine Learning Tutorial with Pandas, Numpy, Seaborn, Scikit-learn in Python and ChatGPT: A Complete Work-flow

What you'll learn
Learn to proficiently use Python for various machine learning tasks, including data cleaning, manipulation, preprocessing, and model development.
Gain expertise in building and implementing supervised machine learning models: Regressions, Random Forest, Decision Tree, SVM, XGBoost, and KNN, etc.
Acquire skills in unsupervised machine learning techniques, including KMeans for effective cluster analysis and pattern recognition.
Learn to create a streamlined and efficient workflow for building machine learning models from scratch, incorporating both Python and ChatGPT.
Develop the ability to measure and evaluate the accuracy and performance of machine learning models, enabling decisions on model selection and optimization.
Explore the integration of ChatGPT into the machine learning workflow, leveraging its capabilities for enhanced data analysis, and generating insights.
Understand strategies for selecting the most suitable machine learning model for a given task, considering factors such as accuracy, and scalability.
Apply acquired knowledge to real-world scenarios, solving diverse machine learning challenges and developing solutions.

Requirements
No coding Experience is Needed.
Desktop/Laptop



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Udemy - Fast-Track Machine Learning in Python and ChatGPT


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1.7 GB
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Udemy - Fast-Track Machine Learning in Python and ChatGPT


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