mp4 [FreeCourseSite.com] Udemy - Learn Data structures & Algorithms using Python for Freshers
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6 - Click-Through Prediction with Logistic Regression#/Click-Through Prediction with Logistic Regression by Gradient Descent.mp4 75.32 MB
3 - Spam Email Detection with Naïve Bayes#/The Naïve Bayes Implementation.mp4 57.36 MB
2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Touring Powerful NLP Libraries in Python.mp4 40.29 MB
6 - Click-Through Prediction with Logistic Regression#/Logistic Regression Classifier.mp4 37.4 MB
3 - Spam Email Detection with Naïve Bayes#/Classifier Performance Evaluation.mp4 36.98 MB
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01. Course Overview/01_01-Course Overview.mp4 5.93 MB
02. Before We Start/02_01-Introduction.mp4 1.84 MB
02. Before We Start/02_02-Why Choose Python.mp4 3.28 MB
02. Before We Start/02_03-Course Workflow.mp4 3.66 MB
02. Before We Start/02_04-Summary.mp4 1.96 MB
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01. Introduction to Enterprise Software with Python/01_01-Introduction and Overview.mp4 16.86 MB
01. Introduction to Enterprise Software with Python/01_02-Prerequisites and Viewing Guide.mp4 20.88 MB
02. Defining the Basics/02_01-What is Enterprise Software 9 Hallmarks of Enterprise Software.mp4 38.49 MB
02. Defining the Basics/02_02-What is Python 3 Perspectives for the Organization.mp4 35.68 MB
02. Defining the Basics/02_03-What is Python Not 4 Common Misconceptions.mp4 33.39 MB
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[HEGRE]Charlotta - Interactive Erotic Couple Massage [09.17.19][1K].mp4 1.13 GB
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01 Introduction and Outline/001 Outline of this Course.mp4 4.93 MB
01 Introduction and Outline/002 Review of Important Deep Learning Concepts.mp4 5.68 MB
01 Introduction and Outline/003 Where to get the Code and Data.mp4 3.12 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4 9.52 MB
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05 Project 2 - RPG Battle Script/051 Enemy artificial intelligence.mp4 78.53 MB
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03 Programming Basics/026 Project 1 - Building a calculator.mp4 47.48 MB
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003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 46.1 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 44.56 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 41.51 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 39.93 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 39.14 MB
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01 Introduction and Outline/quizzes/001 How will you practice what youve learned in this course.html 3.65 KB
01 Introduction and Outline/001 Whats this course about How can you succeed What should you know first.mp4 10.01 MB
01 Introduction and Outline/002 Where to get the code and how to install libraries.mp4 6.69 MB
02 Numpy/003 Lists vs. Arrays.mp4 11.84 MB
02 Numpy/004 Dot product 1 For loop vs. cosine method vs. dot function.mp4 8.78 MB