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Coding fundamentals & Introduction

Welcome to the Data Science and Machine Learning Engineering Bootcamp Deployed-Dill!
Let’s talk about git..
Introduction to Data Science & ML
Introduction to Databases
Introduction to SQL
Gestalt ~~Laws~~ Principles and Visualisation
Exploratory Data Analysis
EDA & Presenting your Results

Machine Learning Basics

Linear Regression
Bias Variance Tradeoff
Regularization
Gradient Descent
Evaluation Metrics
Logistic Regression
KNN & Distance Metrics
Decision Trees

More Machine Learning

Ensemble Methods - Part 1
Ensemble Methods - Part 2
Designing Data Products
Artificial Neural Networks
Image Modeling
Natural Language Processing
Prompt Engineering
Capstone Phase
RAG Systems
Ai Agents
Distributions

Rapid Assessment Test

Git and Github
Intro to Machine Learning
Python Part 1
Python Part 2
pandas & NumPy
Exploratory Data Analysis
Linear Regression
Bias Variance Trade-Off
Gradient Descent
Evaluation Metrics
Logistic Regression
K-nearest Neighbors
Decision Trees
Ensemble Methods
Convolutional Neural Network

K-nearest Neighbors

K-nearest Neighbors#

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Logistic Regression

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Decision Trees

By The DS Coach Team

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