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Learn 2D Lists and Numpy

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Advanced Front-End Web Development with Reactarrow

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Android Development with Kotlinarrow

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Aptitude Preparation Coursearrow

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C++ Foundation with Data Structuresarrow

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Competitive Programming Coursearrow

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Data Science & Machine Learning Completearrow

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Full Stack Web Developmentarrow

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Interview Preparation Coursearrow

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JAVA Foundation with Data Structuresarrow

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Machine Learning & Deep Learning Coursearrow

1. Machine Learning Course

Python Basics

Conditionals, Loops and Functions

Lists and Dictionaries

2D Lists and Numpy

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Pandas

Plotting Graphs

Introduction to ML

Linear Regression

MultiVariable Regression and Gradient Descent

Logistic Regression

Classification Measures

Decision Trees - 1

Decision Trees - 2

Feature Scaling

Random Forests

Naive Bayes

Project: Text Classification

KNN

SVM

PCA

PCA - 2

NLP - 1

NLP - 2

Git

Neural Networks - 1

Neural Networks - 2

Tensor Flow

Keras

CNN - 1

CNN - 2

RNN

LSTM

Unsupervised Learning - 1

Unsupervised Learning - 2

Git

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Python Foundation with Data Structuresarrow

Topics
2D Lists
Wave Print
Importing Modules
Numpy
Numpy Operations

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Relevant Topics:

Python Basics | Conditionals, Loops and Functions | Lists and Dictionaries | 2D Lists and Numpy | Pandas | Plotting Graphs | Introduction to ML | Linear Regression | MultiVariable Regression and Gradient Descent | Logistic Regression | Classification Measures | Decision Trees - 1 | Decision Trees - 2 | Feature Scaling | Random Forests | Naive Bayes | Project: Text Classification | KNN | SVM | PCA | PCA - 2 | NLP - 1 | NLP - 2 | Git | Neural Networks - 1 | Neural Networks - 2 | Tensor Flow | Keras | CNN - 1 | CNN - 2 | RNN | LSTM | Unsupervised Learning - 1 | Unsupervised Learning - 2 | Git

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