Machine Learning with Real World Projects [Video]
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$451.99
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This book & 7000+ ebooks & video courses on 1000+ technologies
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-
Free ChapterSimple Linear Regression
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Multiple Linear Regression
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Hotstar, Netflix Real world Case Study for Multiple Linear Regression
-
Gradient Descent
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KNN
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Model Performance Metrics
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Model Selection Part1
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Naive Bayes
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Logistic Regression
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Support Vector Machine (SVM)
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Decision Tree
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Ensembling
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Model Selection Part2
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Unsupervised Learning
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Dimension Reduction
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Advanced Machine Learning Algorithms
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Deep Learning
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Project - Medical Treatment
- Introduction to Problem Statement
- Playing with Data
- Translating the Problem into Machine Learning World
- Dealing with Text Data
- Train, Test and Cross Validation Split
- Understanding Evaluation Matrix: Log Loss
- Building a Worst Model
- Evaluating a Worst ML Model
- First Categorical column Analysis
- Response Encoding and One Hot Encoder
- Laplace Smoothing and Calibrated classifier
- Significance of first categorical column
- Second Categorical column
- Third Categorical column
- Data pre-processing before building machine learning model
- Building Machine Learning model Part1
- Building Machine Learning model Part2
- Building Machine Learning model Part3
- Building Machine Learning model Part4
- Building Machine Learning model Part5
- Building Machine Learning model Part6
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Project - Quora Project
- Quora Introduction
- Quora Data
- Quora Understanding ML
- Quora Data Distribution
- Quora Datalist
- Quora Basic Feature Engineering
- Quora Text
- Advanced Feature Engineering Part1
- Advanced Feature Engineering Part2
- Advanced Feature Engineering Part3
- Advanced Feature Engineering Part4
- Quora Advance Feature Analysis
- Featuring Text Data with TF-IDF Weighted Word2Vec
- Building Machine Learning Models - Part 1
- Building Machine Learning Models - Part 2
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Real World Problem - Investment Requirement Analysis for a Company
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Loan Analysis Project
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Car Project
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Stack Overflow Project - Facebook Recruitment
About this
video
Want to become a good Data Scientist? Then this is a right course for you.
This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level.
We have solved few Kaggle problems during this course and provided complete solutions so that students can easily compete in real world competition websites.
All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Machine-Learning-with-Real-World-Projects
- Publication date:
- July 2019
- Publisher
- Packt
- Duration
- 29 hours 47 minutes
- ISBN
- 9781838985363
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