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MACHINE LEARNING STREAM

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Machine Learning (ML) Program Details

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Flows

MLF-100. Intro to Machine Learning Flow

ML-100 Teachable Machine Classifiers

ML-110 Object Detection Overview

ML-120 Neural Networks Overview

MLF-200. Python for Machine Learning Flow

ML-200 Python Foundations

ML-210 Python Data Structures (Collections)

ML-220 Python Object Oriented Programming and Recursion

ML-230 Python File Input/Output and Exception Handling

MLF-300. Statistics and Data Mining Flow

ML-300 Data Mining Intro and Preprocessing

ML-310 Statistics Primer

ML-320 Regression in Data Analysis

ML-330 Databases with SQLite

ML-340 Exploratory Data Analysis Projects

MLF-400. Techniques in Machine Learning Flow

ML-400 Machine Learning Introduction

ML-410 Simple Linear Regression

ML-420 Multiple Linear Regression

ML-430 Non-linear Regression

ML-440 Classification Introduction and KNN

ML-450 Decision Trees

ML-460 Support Vector Machines

ML-470 K-Means Clustering

ML-480 Hierarchical Clustering

ML-490 Recommender Systems

MLF-500. Deep Learning Flow

ML-500 Introduction to Neural Networks

ML-510 The Perceptron

ML-520 Multi-Layer Perceptron

ML-530 Linear Algebra and Gradient Descent

ML-540 MLP Classification

ML-550 Convolutional Neural Networks *******

ML-560 Deep Learning Tools ********

MLF-600. Advanced Topics in Machine Learning Flow

ML-600 Advanced Topics Introduction ********

ML-610 YOLO ********

ML-620 Computer Vision ********

ML-630 GPU Acceleration ********

ML-640 Applications of Machine Learning to Robotics ********

ML-650 Faster RCNN ********

ML-660 Single-Shot multibox Detector (SSD) ********

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