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movie-recommendation-system

In this Movie Dataset I have used my Basic Knowledge of Recommendation Systems. I have used the Concept of Content -Based Recommendation System to Recommend that If a User Watched a Particular Movie than Which Other Movies He/She is going to like or watch.

named-entity-recognition

This is a Starter NLP Project where I have Tried to Explore Different Functionalities That Could be Achieved Using NLP Libraries, I have Used Different Libraries Such as Wikipedia, Spacy, etc to Extract the Details from a Website or more Specifically From Wikipedia and get some more Knowledge about it.

numpy-and-pandas

Numpy and Pandas are one of the most important building blocks of knowledge to get started in the field of Data Science, Analytics, Machine Learning, Business Intelligence, and Business Analytics. This Tutorial Focuses to help the Beginners to learn the core Concepts of Numpy and Pandas and get started with Machine Learning and Data Science.

object-detection

pancard-tampering-detector

power-bi

About I am making this Repository to post all my projects done using Power BI. Power BI is an analytical tool which helps to modify data and Visualiza data in an Interactive and Easy Way.

predicting-tariff-rates

predicting-the-likelihood-of-e-signing-a-loan-based-on-financial-history

It is a Simple and Starter Data Science Problem Solved Using Machine Learning Concepts such as Classification and Clustering etc. In this Dataset we have to Predict the Likelihood of the E-signing of a Loan Based Financial History.

predicting-the-trends-of-qaulity-oriented-jobs

project_test

This is a test project to show how Github works

python-for-ds

statistics-for-data-science

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descri

steel-defect-detection

students-performance-analytics

Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades

text-classification

This is a Project Assignment where I have Learned to Classify the Different Texts Using Clustering Techniques. Natural Language Processing and Clustering both of these Concepts are Being Used. I have Used K-means Clustering Techniques to Implement the Problem.

text-summarization

titanic-passenger-survival-prediction

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive

tourist-places-and-visitors-analysis

twitter-sentiment-analysis

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

world-happiness-report

The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International…