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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.
View ProjectKnowledge-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
View ProjectMy-project
October 29, 2019 – October 29, 2019
1)Knowledge GraphNLP Model from Modi's Speech and word count (Frequency of words)
View ProjectBuilding-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.
View ProjectMarket-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.
View ProjectTime-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.
View ProjectCustomerAnalytics_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.
View ProjectData-Preprocessing-
September 4, 2019 – September 4, 2019
Here we will perform all the basic task like data cleaning and wrangling .
View Projectkeras_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.
View Projectpredicting-credit-card-features1.2
April 7, 2018 – April 7, 2018
predicting-credit-card-features1.2 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong initiative and self-learning drive, which can be a positive cultural fit for roles requiring continuous learning. The diversity of projects (NLP, time series, customer analytics, recommendation systems) suggests a broad interest within data science. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but collaboration, stress handling, and work attitude cannot be evaluated without psychometric test results or interview data.