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DSMLDA – 260323
About the Course
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About the Course
2 Topics
Welcome to TechVidvan
Important Note
Getting Started 260323
Sample Lesson
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Getting Started 260323
8 Topics
Video – Introduction to ML 260323
Notes – ML Introduction
Notes – Why Machine Learning?
Data Science Interview Questions – ML Introduction
Video – Deep Dive into ML 260323
Notes – Key ML Terminologies
Data Science Interview Questions – Key ML Terminologies
Notes – Types of Machine Learning
Deep Dive into ML 260323
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Deep Dive into ML 260323
5 Topics
Video – Deep Dive into ML Part-2 260323
Notes – AI & ML Case Studies in Industry
Notes – AI & ML Applications in Real World
Notes – AI vs ML vs Data Science
Notes – Machine Learning Workflow
Learn Pandas 260323
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Learn Pandas 260323
3 Topics
Video – Pandas 260323
Notes – Introduction to Pandas
Pandas Interview Questions – Introduction
Exploratory Data Analysis 260323
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Exploratory Data Analysis 260323
15 Topics
Video – EDA Part-1 260323
Notes – Exploratory Data Analysis
Interview Questions – Exploratory Data Analysis
Video – EDA Part-2 260323
Video – EDA Part-3 260323
Notes – Numerical vs Categorical Data in Data Science
Notes – Continuous vs. Discrete Data in Data Science
Notes – Feature Engineering in Data Science
Notes – Handling Missing Values in Data Science
Notes – Handling Outliers in Data Science
Notes – Univariate, Bivariate, Multivariate Analysis in Data Science
Notes – Correlation in Data Science
Notes – Data Cleaning Essentials in Data Science
Notes – Business Insights from EDA in Data Science
Video – EDA Part-4 260323
Regression in ML 260323
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Regression in ML 260323
7 Topics
Video – Regression Part-1 in ML 260323
Video – Regression Part-2 in ML 260323
Video – Regression Part-3 in ML 260323
Video – Regression Part-4 in ML 260323
Video – Regression Part-5 in ML 260323
Video – Regression Part-6 in ML 260323
Regression Projects
Let’s Start with Matplotlib 260323
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Let’s Start with Matplotlib 260323
1 Topic
Video – Matplotlib 260323
Logistic Regression 260323
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Logistic Regression 260323
3 Topics
Video – Logistic Regression in ML 260323
Video – Logistic Regression Part-2 in ML 260323
Video – Logistic Regression Part-3 in ML 260323
Dive into KNN 260323
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Dive into KNN 260323
2 Topics
Video – KNN in ML 260323
Video – KNN in ML Part-2 260323
Decision Tree 260323
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Decision Tree 260323
6 Topics
Video – Decision Tree in ML 260323
Video – Decision Tree in ML Part-2 260323
Video – Decision Tree in ML Part-3 260323
Video – Decision Tree in ML Part-4 260323
Video – Decision Tree in ML Part-5 260323
Video – Decision Tree in ML Part-6 260323
Random Forest 260323
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Random Forest 260323
3 Topics
Video – Random Forest in ML 260323
Video – Random Forest in ML Part-2 260323
Video – Random Forest in ML Part-3 260323
NumPy 260323
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NumPy 260323
1 Topic
Video – NumPy 260323
Unsupervised Learning 260323
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Unsupervised Learning 260323
2 Topics
Video – Unsupervised Learning in ML 260323
Video – Unsupervised Learning in ML Part-2 260323
K-Means Clustering 260323
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K-Means Clustering 260323
2 Topics
Video – K-Means Clustering in ML 260323
Video – K-Means Clustering in ML Part-2 260323
Project Presentation 260323
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Project Presentation 260323
4 Topics
Video – Project Presentation Part-1 260323
Video – Project Presentation Part-2 260323
Video – Project Presentation Part-3 260323
Video – K-Means Clustering in ML Part-3 260323
Dimensionality Reduction 260323
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Dimensionality Reduction 260323
1 Topic
Video – Dimensionality Reduction in ML 260323
Deep Learning 260323
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Deep Learning 260323
2 Topics
Video – DL Part-1 260323
Video – DL Part-2 260323
ANN in ML 260323
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ANN in ML 260323
2 Topics
Video – ANN Part-1 260323
Video – ANN Part-2 260323
Previous Topic
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Video – Deep Dive into ML 260323
LMS
DSMLDA – 260323
Getting Started 260323
Video – Deep Dive into ML 260323
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