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Practical Data Science using Python - Logistic Regression - Build the Logistic Model
This video explains logistic regression - build the logistic model. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Practical Data Science using Python - EDA Project - 5
This video explains how to apply binning on funded amount. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
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Practical Data Science using Python - Decision Tree - Hyperparameter Tuning
This video explains decision tree - hyperparameter tuning. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
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Agile Project Management - Importance of Committing with Confidence
This video explains the importance of committing with confidence. This clip is from the chapter "Meeting Project Deadline with Agile Scrum" of the series "Agile Project Management".This section introduces you to meeting project deadlines...
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Deep Learning CNN Convolutional Neural Networks with Python - Parametric Shape Detection
This video explains about parametric shape detection. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
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Deep Learning CNN Convolutional Neural Networks with Python - Object Detection Activity
This is an activity video on object detection. This clip is from the chapter "Object Detection" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the methods of object detection.
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Deep Learning CNN Convolutional Neural Networks with Python - FashionMNIST Example CNN
This video demonstrates FashionMNIST example CNN. This clip is from the chapter "Introduction to TensorFlow" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the introduction to...
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Python In Practice - 15 Projects to Master Python - Creating the Function to Rate Reviews (In Raw Format)
This video explains creating the function to rate reviews (in raw format). This clip is from the chapter "Rating Bot" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the Rating Bot.
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The Complete Python Course - Course Introduction
In this video, you will learn about the course in general, the scope of the course, and what we will know upon completion of the course. This clip is from the chapter "Introduction" of the series "The Complete Python Course (2022)".This...
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Snowflake - Build and Architect Data Pipelines Using AWS - Introduction - Different Tables in Snowflake
This video provides an introduction to different tables in Snowflake. This clip is from the chapter "Snowflake - Tables" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on tables in Snowflake.
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AWS Serverless Microservices with Patterns and Best Practices - Course Structure and Way of Learning
This video talks about the course structure and way of learning. This clip is from the chapter "Introduction to the Course" of the series "AWS Serverless Microservices with Patterns and Best Practices".This section provides an...
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MongoDB Tutorial for Beginners (2022) - NoSQL Versus SQL (With Examples - MongoDB Versus MySQL)
Learn how SQL and NoSQL are different. We have considered the example of MySQL (SQL-based) and MongoDB (NoSQL based) to understand the concept. We will also see what collections and documents in MongoDB are and how they differ from...
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Fundamentals of Machine Learning - Ridge
This video explains a lab session on Ridge regression, which holds a unique position in statistical machine learning. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 5
In this final part, we will test our model. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be working on our final project in...
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Deep Learning - Deep Neural Network for Beginners Using Python - Data Analysis NN (Neural Networks) Implementation
In this video, you will learn how to implement data analysis in our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will...
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Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Transformation of Random Variables
In this video, we will cover transformation of random variables. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...
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Powerful Presentations With Google Slides - Changing the Order of Slides
After this video, the viewer will be able to change the order of slides within the presentation in both standard view and grid view.
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Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Introduction to Pandas
In this video, we will cover an introduction to Pandas. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Introduction to Pandas
In this video, we will cover an introduction to Pandas. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: Object Detection Activity
In this video, we will cover object detection activity. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Marking Facial Features
In this video, we will cover marking facial features. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Introduction
In this video, we will cover PCA introduction. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Derived Features Histogram of Gradients Local Binary Patterns
In this video, we will cover derived features histogram of gradients local binary patterns. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Categorical Features Python
In this video, we will cover categorical features of Python. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...