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-facebook-social-network-analysis

Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory.[1] It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. Examples of social stru…

-fraud-detection-in-insurace-claims

This is a very Important part of Data Science Case Study because Detecting Frauds and Analyzing their Behaviours and finding reasons behind them is one of the prime responsibilities of a Data Scientist. This is the Branch which comes under Anamoly Detection.

-image-super-resolution

Image Super Resolution is one of the most Intriguing and Interesting Projects in Deep Learning and It is done by an Architecture of Deep Learning called Super Resolution Convolutional Neural Networks or SRCNN. Using Image Super Resolution Technique we can convert the Low Resolution Images into High Resolution, Which can be really helpful for Dom…

-passenger-prediction-using-time-series-analysis

I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series Plots.

-understanding-pca

Principal Component Analysis is One of the Most Popular Dimensionality Reduction Algorithms used in Machine Learning Which comes under Unsupervised Way of Learning. It is also Used as a way of Feature Extraction where, More Information is Extracted from all the Existing Attributes, in just some 3-4 Attributes using the Concepts of Eigen Values a…

10-days-nlp-blog-series

The Complete NLP Guide: Text to Context

amazon-fine-food-reviews

analyzing-crimes-in-indian-states

analyzing-the-dimensions-of-poverty

The Data set is picked from Kaggle which describes the Situation of the Multidimensional Measures around the globe. In this Analysis, I have tried to used Pandas, seaborn, and Ipywidgets for the End to End Analysis of the Subject.

anime-recommendations

basic-python-course

The Course includes all the basic concepts of Python. Python Programming Language is one of the most trending programming languages in the world currently due to it's large applications in different domains and technologies. Python is the first choice for Data Science, Machine Learning, Deep Learning, Computer Vision, Block chain etc.

become-python-topgun

This repository contains a collection of 100 short Python programs that are perfect for beginners to use to learn and practice their Python programming skills.

bitcoin-price-prediction

board-game-review-prediction

Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteris…

christiano-ronaldo---goal-prediction-top-40-

It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achi…

data-visualizations

Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using Data Visualizations to make wiser decisions which could land the Business to make bigger profits and understand the root cause and behavioral analysis of people and customers associated to it

digit-recognition-

directing-customers-through-app-behaviour-analysis

It is a Business Case Problem Used in Data Science Consulting and Engineering. Data Science always helps us to take important Business Decisions which leads to development of the Organization and also helps to avoid any Disaster by taking any gut-feeling decisions. Here In This Dataset I have Predicted the Behaviours of the Customers through the…

drugs-recommendation-using-reviews

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient

educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

fashion-class-classification

Context Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking …

feature-matching-using-sift-and-surf

genetic-algorithm-for-solving-an-equation

I have used Genetic Algorithms for solving Equations. This is done using python.

google-job-skills

Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific details which are important to get hired by youtube and google. Topics

hypothesis-testing-assignment

introduction-to-highcharter-visualizations

High Charter is a Premium package available for R programming Language Interface. It is a Expensive and Paid package and cannot be used for commercial and government use without payment. What makes it so special is the custom designing to the plots and endless options for different plots. There are more than 100 different types of plot available…

introduction-to-reinforcement-learning

During this final project, we will build a deep neural network and use reinforcement learning to solve a cart and pole balancing problem using OpenAI. OpenAI Gym is a tookit for developing and comparing reinforcement learning algorithms that was built by OpenAI, a non-profit artificial intelligence research company founded by Elon Musk and Sam A…

llm

An ecosystem of Rust libraries for working with large language models

machine-learning-algorithms-with-pyspark

In this Complete process in machine learning is discussed and done with pyspark

mnist-using-k-means

It is One of the Easiest Problems in Data Science to Detect the MNIST Numbers, Using a Classification Algorithm, Here I have used a csv File which contains the Pixels of the Numbers from 0 to 9 and we have to Classify the Numbers Accordingly. I have Used K-Means Classification Algorithm.