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Name: Nilay Deshmukh
Type: User
Name: Nilay Deshmukh
Type: User
AdaBoost & XGBoost is types of Ensemble Methods
Agglomerative Clustering is one of the type of Hierarchical clustering, Model Building by using Python
Implementation of ANN in python
Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.
Implementing Decision in Python
Implementation of Model base Forecasting in Python.
Heroku Deployment files
contain charts of Hypothesis testing as well as data visualization
K-Means Clustering is one of the type of Non-Hierarchical clustering, Model Building by using Python
Implementation of KNN in Python
Implementation of K-Prototype in python.
Regularisation Methods
In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food reviews dataset from Kaggle(https://www.kaggle.com/snap/amazon-fine-food-reviews) for performing LDA based topic modelling I will be using the gensim package for LDA topic modelling and pyLDAvis for visualization of LDA topic model
A python implementation of logistic regression
Multinomial Logistic Regression is type logistic Regression,Model building by using python
Multiple Linear Regression is type of Supervised learning, Model building by using python
Extracting Multiple Table From single sheet CSV File
Implementation of Multivariate Time Series in python
Implementation of Naive Bayes Classifier by using Python
This is my Portfolio... Take a look.
Principle Component Analysis(PCA) is one of the type of Dimension Reduction Technique, Model Building of PCA by using Python
Shiny Deployment of Linear Regression.
The random forest is a classification algorithm consisting of many decisions trees. Model building of it by using Python.
Recommendation Engine by using Python
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.