Smrutiranjan Tripathy

Word-count-from-Modi-s-Speech

November 19, 2019 – November 19, 2019

Which words Modi use more in his speech ? This project is about the counting of words from speech of Narendra Modi.I have used NLP fundamental to curated the output.Here you will find using of NLTK library extensively.

Knowledge-Graph

October 29, 2019 – October 29, 2019

We will build knowledge graph using text from Wikipedia pages. By using Python to build our knowledge graph taking the help of the popular spaCy library

My-project

October 29, 2019 – October 29, 2019

1)Knowledge GraphNLP Model from Modi's Speech and word count (Frequency of words)

Building-a-Recommendation-System-using-Word2vec

October 29, 2019 – October 29, 2019

In this project, we are going to build a recommendation system by using NLP Concept, WORD2VECTOR.

Market-Basket-Optimization

September 15, 2019 – September 15, 2019

Apriori is a popular algorithm for extracting frequent itemsets with applications in association rule learning. The apriori algorithm has been designed to operate on databases containing transactions, such as purchases by customers of a store. An itemset is considered as "frequent" if it meets a user-specified support threshold. For instance, if the support threshold is set to 0.5 (50%), a frequent item set is defined as a set of items that occur together in at least 50% of all transactions in the database.

Time-Series-Analysis-and-Forecasting-with-Python

September 14, 2019 – September 14, 2019

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.

CustomerAnalytics_CustomerBehavior

September 4, 2019 – September 15, 2019

The importance of customer analytics is rising: because access to customer data became easier for many businesses, and also customers now have easier access to data and information on similar products and contents provided by other competitors, it is critical to many businesses to be able to understand and predict what their customers are likely to purchase or view. The deeper the understanding your company has about its customers, the better competitive power it will have against its competitors.

Data-Preprocessing-

September 4, 2019 – September 4, 2019

Here we will perform all the basic task like data cleaning and wrangling .

keras_first_network

May 7, 2018 – May 7, 2018

This is a standard machine learning dataset from the UCI Machine Learning repository. It describes patient medical record data for Pima Indians and whether they had an onset of diabetes within five years. As such, it is a binary classification problem (onset of diabetes as 1 or not as 0). All of the input variables that describe each patient are numerical. This makes it easy to use directly with neural networks that expect numerical input and output values, and ideal for our first neural network in Keras.

predicting-credit-card-features1.2

April 7, 2018 – April 7, 2018

predicting-credit-card-features1.2 — GitHub repository