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adaboost-xgboost

AdaBoost & XGBoost is types of Ensemble Methods

agglomerative-clustering

Agglomerative Clustering is one of the type of Hierarchical clustering, Model Building by using Python

artificial-neural-network

Implementation of ANN in python

association-rules

Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.

av-job-a-thon-agg-feature-engineering

decision-tree

Implementing Decision in Python

flower_classification_using_transfer_learning

forecasting

Implementation of Model base Forecasting in Python.

heroku-dashboard

Heroku Deployment files

importanat_charts

contain charts of Hypothesis testing as well as data visualization

insurancefrauddetection

k-means-clustering

K-Means Clustering is one of the type of Non-Hierarchical clustering, Model Building by using Python

k-nearest-neighbor-classifier-knn

Implementation of KNN in Python

k-prototype-for-mixed-data

Implementation of K-Prototype in python.

lasso-ridge-and-elasticnet-regression-with-eda

Regularisation Methods

ldatopicmodelling

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

lda_topic_modeling

logistic-regression-with-eda

A python implementation of logistic regression

multinomial-logistic-regression

Multinomial Logistic Regression is type logistic Regression,Model building by using python

multiple-linear-regression-with-eda

Multiple Linear Regression is type of Supervised learning, Model building by using python

multiple_table_extractor_pandas

Extracting Multiple Table From single sheet CSV File

multivariate-time-series

Implementation of Multivariate Time Series in python

naive-bayes-classifier

Implementation of Naive Bayes Classifier by using Python

nextwordsprediction

nilay_deshmukh

This is my Portfolio... Take a look.

pca-with-clustering-analysis

Principle Component Analysis(PCA) is one of the type of Dimension Reduction Technique, Model Building of PCA by using Python

python-fidget-spinner-game

r-shiny-deployment

Shiny Deployment of Linear Regression.

random-forest

The random forest is a classification algorithm consisting of many decisions trees. Model building of it by using Python.

recommendation-engine

Recommendation Engine by using Python