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Machine Learning Tutorial 2 - Logistic Regression Python Part 1 | Machine Learning Basics
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In this video, we will learn about logistic regression with python in machine learning. Logistic Regression is a Machine Learning algorithm which is used for classification problems, it is a predictive analysis algorithm, and based on the concept of probability. Logistic regression is basically a supervised classification algorithm. In a classification problem, the target variable(or output),y, can take only discrete values for a given set of features(or inputs), X. Logistic regression becomes a classification technique only when a decision threshold is brought into the picture. The setting of the threshold value is a very important aspect of Logistic regression and is dependent on the classification problem itself.
#LogisticRegression #MachineLearning #TitanicDataset
🔊 Watch till last for a detailed description
01:59 What is logistic regression?
06:05 Decision boundary
08:22 Building the model
13:12 Data understanding
38:00 analyzing embarked
50:19 Convert categorical data into numerical data
58:08 Build a logistic regression model
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📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
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#LogisticRegression #MachineLearning #TitanicDataset
🔊 Watch till last for a detailed description
01:59 What is logistic regression?
06:05 Decision boundary
08:22 Building the model
13:12 Data understanding
38:00 analyzing embarked
50:19 Convert categorical data into numerical data
58:08 Build a logistic regression model
👇👇👇👇👇👇👇👇👇👇👇👇👇👇
✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests
📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
---------------------------------------------------------------
💯 Read Full Blog with Code
💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️
~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
👉🏻 Machine Learning for Beginners
👉🏻 Feature Selection in Machine Learning
👉🏻 Text Preprocessing and Mining for NLP
👉🏻 Natural Language Processing (NLP)
👉🏻 Deep Learning with TensorFlow 2.0
👉🏻 COVID 19 Data Analysis and Visualization
👉🏻 Machine Learning Model Deployment Using
👉🏻 Make Your Own Automated Email Marketing
***********
🤝 BE MY FRIEND
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