sklearn Archives - SETScholars: Learn how to Code by Examples

How to add a dropout layer to a Deep Learning Model in Keras

By NILIMESH HALDER on Wednesday, March 18, 2020

Hits: 15 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to add a dropout layer to a Deep Learning Model in Keras. What should I learn from this recipe? You will learn: How …

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Learn By Example | How to add a dropout layer to a Deep Learning Model in Keras?

By NILIMESH HALDER on Saturday, January 25, 2020

Hits: 10 In this Applied Machine Learning & Data Science Recipe, the reader will find the practical use of applied machine learning and data science in Python & R programming: Learn By Example | How to setup a Deep Learning Model in Keras? 100+ End-to-End projects in Python & R to build your Data …

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Learn By Example | How to setup a Deep Learning Model in Keras?

By NILIMESH HALDER on Friday, January 24, 2020

Hits: 7 In this Applied Machine Learning & Data Science Recipe, the reader will find the practical use of applied machine learning and data science in Python & R programming: Learn By Example | How to setup a Deep Learning Model in Keras? 100+ End-to-End projects in Python & R to build your Data …

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Data Science Coding | Keras and Tensorflow with Grid Search Cross Validation | IRIS Data | WACAMLDS

By NILIMESH HALDER on Sunday, January 5, 2020

Hits: 50 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: Keras and Tensorflow with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied Machine …

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Data Science Coding | SKLEARN XGBoost Classifier with Grid Search Cross Validation | WACAMLDS

By NILIMESH HALDER on Sunday, January 5, 2020

Hits: 34 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: SKLEARN XGBoost Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied Machine …

Applied Statistics Boosting Ensemble Classification Data Analytics Data Science Data Visualisation Machine Learning Recipe Python Machine Learning SKLEARN Supervised Learning Tabular Data Analytics

SKLEARN Gradient Boosting Classifier with Monte Carlo Cross Validation

By NILIMESH HALDER on Saturday, January 4, 2020

Hits: 28 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: SKLEARN Gradient Boosting Classifier with Monte Carlo Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied …

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SKLEARN Gradient Boosting Classifier with Grid Search Cross Validation

By NILIMESH HALDER on Friday, January 3, 2020

Hits: 154 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: SKLEARN Gradient Boosting Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. Introduction to Applied …

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IRIS Flower Classification using SKLEARN RandomForest Classifier with Monte Carlo Cross Validation

By NILIMESH HALDER on Friday, January 3, 2020

Hits: 54 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN RandomForest Classifier with Monte Carlo Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

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IRIS Flower Classification using SKLEARN Random Forest Classifier with Grid Search Cross Validation

By NILIMESH HALDER on Friday, January 3, 2020

Hits: 75 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN Random Forest Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science …

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IRIS Flower Classification using SKLEARN DecisionTree Classifier with Monte Carlo Cross Validation

By NILIMESH HALDER on Thursday, January 2, 2020

Hits: 55 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN DecisionTree Classifier with Monte Carlo Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

IRIS Flower Classification using SKLEARN DecisionTree Classifier with Grid Search Cross Validation

By SETScholars Team on Thursday, January 2, 2020

Hits: 79 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: IRIS Flower Classification using SKLEARN DecisionTree Classifier with Grid Search Cross Validation. 100+ End-to-End projects in Python & R to build your Data Science portfolio. …

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Beginner’s Project on Regression in Python

By SETScholars Team on Thursday, September 12, 2019

Hits: 377 Beginner’s Project on Regression in Python In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to do an end-to-end Beginner’s Project on Regression in Python. Beginner’s Project on Regression in Python …

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Beginner’s Project on Binary Classification in Python – Sonar Dataset

By SETScholars Team on Thursday, September 12, 2019

Hits: 395 Beginner’s Project on Binary Classification in Python – Sonar Dataset In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to do an end-to-end Beginner’s Project on Binary Classification in Python. Beginner’s …

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Beginner’s Project on Multi-Class Classification in Python

By SETScholars Team on Thursday, September 12, 2019

Hits: 337 Beginner’s Project on Multi-Class Classification in Python In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to do an end-to-end Beginner’s Project on Multi-Class Classification in Python. Beginner’s Project on Multi-Class Classification …

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How to save and load model with pickle

By SETScholars Team on Wednesday, September 11, 2019

Hits: 100 How to save and load model with pickle In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: how to save and load model with pickle. How to save and load model with pickle …

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How to save and load model with joblib

By SETScholars Team on Tuesday, September 10, 2019

Hits: 94 How to save and load model with joblib In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to save and load model with joblib. How to save and load model with joblib …

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