ProjectPro | Machine Learning & Big Data Code Snippets in Python

Speed up Your Development with ProjectPro's Reusable Machine Learning & Big Data Code Snippets and Expand your knowledge in Data domain with Topic Search.

Features

Topic Search

Windows: ctrl + shift + p
Mac: cmd + shift + p

TYPE: Big Data and Data Science Topic Search
Search for any topic in Data domain
Click on the Suggested Topics to learn more about them.

Reusable code snippets

To use this feature simply go to any .py file and start typing below Shortcut keys to generate code.

!importlib - Code for Importing Libraries
!loaddataset - Load Dataset
!traintestsplit - Train-Test Split
!featurescaling - Feature Scaling
!linearregression - Linear Regression
!logisticregression - Logistic Regression
!decisiontree - Decision Tree
!randomforest - Random Forest
!knn - K-Nearest Neighbors (KNN)
!naivebayes - Naive Bayes
!nnkeras - Neural Network using Keras
!kmeansclustering - K-Means Clustering
!textprocessing - Text Preprocessing
!tokenizationnltk - Tokenization using NLTK
!sentimentvader - Sentiment Analysis with Vader
!readcsv - Reading Large CSV in Chunks
!writecsv - Writing Data to CSV in Chunks
!countunique - Counting Unique Values in Large Data
!visualizedatashader - Large Data Visualization with Datashader
!mergecsv - Merging Multiple CSV Files
!flask - to create basic REST api server

Requirements

To use the code snippets you need to install the library if already not present. Install with suitable pip or pip3

How to Use

For example:

go to .py file
type !linearregression
hit tab / enter
it will generate below code! and hopefully save a time!

from sklearn.linear_model import LinearRegression

model = LinearRegression()
model.fit(X_train, y_train)
predictions = model.predict(X_test)