Machine Learning with Python - From Basics to Advanced Models
Created by Team Mammoth
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46 lectures
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Skill level
All levels
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Sections
1
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Lectures
46
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Team Mammoth
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Certificate of completion
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Course content
Curriculum & lectures.
+ Main Curriculum 46 lectures Preview
01 Stock Price Prediction Intro
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01b Advanced Linear Regression Model Training Demo
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02 Preparing our Test Data for our Model Demo
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02b Logistic Regression Demo
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03 Gathering Train and Test Data for our Model
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03b Species Classification Demo
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04 Preparing our Movie Dataset
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04b K-Nearest Neighbors Demo
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05 Understanding Cross Validation
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05b Cross Validation Demo
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06 Preparing our Applicant Database
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06b Decision Trees Demo
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07 Creating our Applicant Dataset Demo
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07b Random Forest Decision Trees Demo
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08 Getting MNIST Dataset Ready Demo
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08b Build a Simple Neural Network Demo
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09 Getting EBook Dataset Ready Demo
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09b Getting EBook Dataset Ready Demo
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10 Getting CIFAR-10 Dataset Ready Demo
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10b Build a Convolutional Neural Network Demo
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11 Displaying Audio File Demo
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11B Simple Speech to Text Demo
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12 Acquiring our Dataset Demo
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12b Preparing our Dataset Demo
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12c Writing Utility Functions Demo
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12d Image Classification Demo
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13 Gathering our Images Demo
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13b Object Detection Demo
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14 Build a Generator and Discriminator Demo
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14b Generating Hand Drawn Images Demo
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15 Gathering our Images Demo
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15b Image Style Transfer Demo
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16 Simple Natural Language Processing with T5
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16b Simple Natural Language Processing with NLTK
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17 Sentiment Classification using Vader
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17b Sentiment Classification using the Roberta Model
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18 Setting up our Trackers
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18b Computer Vision with OpenCV Demo
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19 Setting up our OpenAI API
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19b Build a Chatbot with the OpenAI ChatGPT API Demo
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20 Setting up our DALL-E API
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20b Generate Images with DALL-E OpenAI API Demo
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21 Setting up our PDF
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21b Convert PDF to Speech Demo
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Course Source files 1
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Course Source Files 2
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Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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