Logistic Regression Analysis And Coefficient Of Correlation Using Python And Jupyter Notebook

The problem is about to create the machine learning Model to predict the like hood of the person to have diabetes or not based on the number of factors such as Glucose Level, Blood-Pressure, Skin-Thickness, Insulin, BMI, Age. Finally the Model will find how far these factors influence diabetes as a general and one by one The act of looking at the X features as I mentioned above whether those features are related to the Y variable, that is called regression where it can be positive or negative Regression, and the act of looking to what extent the independent variables that are X how far influences the dependent variable that is Y is called the coefficient of correlation. Finally, we will check to what extent each X feature has contributed to Y. The main Objective of this video tutorial is to To develop a mathematical relationship (model) between variables. using Python Machine Learning Libraries FULL PROJECT LIVE DEMO https://open-projects.streamlit.app/ FULL PROJECT ON GITHUB https://github.com/shamiraty/OPEN-STREAMLIT-PROJECTS/ The specific Objectives are-: 1. Problem statement 2. Data collection 3. Exploratory Data Analysis 4. Data cleaning 5. Model selection & Training 6. Model Evaluation & Accuracy Testing 7. Features selection 8. Hyperparameter tuning 9. Prediction 10. Model Deployment by Streamlit or Django TIMELINE: 0:00 Introduction to Logistic Regression 0:00:49 Specific Objectives 0:01:35 Problem Statement 0:02:25 Download Source Code 0:03:00 installation of python dependencies 0:05:19 uploading Excel file to Jupyter Notebook 0:06:35 import python libraries 0:07:30 Loading Dataset Excel File 0:09:08 Exploratory Data Analysis Source Code: https://github.com/shamiraty/Logistic-Regression-Jupyter-NoteBook 🏆 OTHER PYTHON VIDEO SERIES *Business Analytics Dashboard Website using Streamlit Python and MySQL* live demo https://business-analytics.streamlit.app/ reference code https://github.com/shamiraty/Streamlit-Business-analytics-with-Excel_CSV Video tutorial https://youtu.be/sIqBA0PhzGQ *descriptive analytics website with MySQL* live demo https://shamiraty-streamlit-dashboard-descriptive-analytics-home-5ks7sm.streamlit.app/ reference code https://github.com/shamiraty/Streamlit-Dashboard-Descriptive-Analytics-with-MYSQL Video tutorial https://youtu.be/pWxDxhWXJos *analytics dashboard with excel and graphs* live demo https://shamiraty-analyticsdashboard-with-excel-file-main-kkkk2a.streamlit.app/ Video tutorial https://youtu.be/-cg3qPhI74s *Web Analytics Dashboard using Python and Streamlit to Visualize Sales Data of Excel file* live demo https://projectforce.streamlit.app/ reference code https://github.com/shamiraty/streamlit-dashboard-with-date-filter-and-content-switch Video Tutorial https://youtu.be/uDuPM4xfPlw *Streamlit Web Visualization Dashboard using Python and PygWalker Exploratory Library* Live Demo https://kanaries.streamlit.app/ Source Code https://github.com/shamiraty/pgwalker-with-streamlit Video Tutorial https://youtu.be/JeoYZkmeYTo *Decision tree model* live demo https://shamiraty-decisiontree-streamlit-home-y6z5z0.streamlit.app/ reference code https://github.com/shamiraty/DecisionTree-Streamlit Video tutorial https://youtu.be/s4pUqZrDOzw *Crosstabulation web* live demo https://shamiraty-crosstabulation-main-b2c61u.streamlit.app/ reference code https://github.com/shamiraty/CrossTabulation Video tutorial https://youtu.be/1fnq4CzezxQ *Add new Record to Excel file via Web Interface* live demo https://shamiraty-add-data-to-excel-streamlit-main-4mef19.streamlit.app/ reference code https://github.com/shamiraty/add-data-to-excel-streamlit Video tutorial https://youtu.be/-3q2rwuy99g *Percentiles, 5 number summary, Categorical data* live demo https://shamiraty-numbersummary-percentiles-main-bng7ov.streamlit.app/ reference code https://github.com/shamiraty/numberSummary_percentiles Video tutorial https://youtu.be/U7vf-DB_KmQ *Business Intelligent Analytics Web Dashboard Using PYTHON, HTML, CSS, STREAMLIT, MICROSOFT EXCEL* video https://www.youtube.com/watch?v=mDJ-sKB7DvE live demo https://python-business-analytics.streamlit.app/ reference code https://github.com/shamiraty/python_analytics_graph_excel *Business Analytics Web Dashboard Using Python, Html, CSS, Streamlit & Excel as Database | real Word* live demo https://python-bussiness-analytics-with-adddata.streamlit.app/ source code https://github.com/shamiraty/python_analytics_graph_excel-_with_add_data/ video https://youtu.be/rJzBNm0rb0g *Add Records to Microsoft Excel File by Web User Interface live demo https://add-data-excel.streamlit.app/ source code https://github.com/shamiraty/add-data-excel video not available my GitHub reference source code https://github.com/shamiraty?tab=repositories contact: WhatsApp +255675839840 email: [email protected] plays tore: https://play.google.com/store/apps/dev?id=7334720987169992827&hl=en&gl=US telegram: +255656848274