Siddhant Kakkar's repositories
AI-Image-Cption-Bot
Generating Captions(Textual Description) for given images
ICINBANK_ADMIN
ICIN is one of the top banking firms that accepts deposits from the public for the purpose of lending loans to the public. It also invests an amount in securities. Recently, the business analysts noticed a drop in the number of customers of the bank. They found out that online banking systems of banks like AXIS and American Express are gaining more profits by eliminating middlemen from the equation. As a result, the team decided to hire a Full Stack developer who can develop an online banking web application with a rich and user-friendly interface.
Emoji-Prediction
Emojis are the incredible way of expressing yourself.Therefore, our machines should also be aware of the appropriate emoji to be used at the right time. Thus, this project does the same. In this project, the model is predicting emoji's according to a given sentence using Deep Learning Models
Face-Recognition-using-OpenCV-Python
Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match.
Global-Terrorism-Database-Analysis-using-Tableau
Information on more than 180,000 Terrorist Attacks The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2017. The GTD includes systematic data on domestic as well as international terrorist incidents that have occurred during this time period and now includes more than 180,000 attacks. The database is maintained by researchers at the National Consortium for the Study of Terrorism and Responses to Terrorism (START), headquartered at the University of Maryland. I have done done complete analysis of the database using Tableau
House_Sales_Analysis
This dataset being used here is regarding the sales of houses in King County. King County is a county located in the U.S. state of Washington. The population was 2,233,163 in the 2018 census estimate. King is the most populous county in Washington, and the 12th-most populous in the United States. The county seat is Seattle, which is the state's largest city. This dataset includes the homes sold between May 2014 and May 2015.
Backened-Admin-For-Learner-s-Academy
Learner’s Academy is a school that has an online management system. The system keeps track of its classes, subjects, students, and teachers. It has a back-office application with a single administrator login.
Car_Prices
A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts. They have contracted an automobile consulting company to understand the factors on which the pricing of cars depends. Specifically, they want to understand the factors affecting the pricing of cars in the American market, since those may be very different from the Chinese market. The company wants to know: Which variables are significant in predicting the price of a car How well those variables describe the price of a car Based on various market surveys, the consulting firm has gathered a large dataset of different types of cars across the Americal market.
Challenge-Hardwork-Pays-Off
Our task is to predict the score you will get given the amount of time you spend on coding daily.
Coronavirus_Analysis
2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC This dataset has daily level information on the number of affected cases, deaths and recovery from 2019 novel coronaviru
Gradient-Descent-Algorithm-
Gradient descent is an optimization algorithm used to minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient. In machine learning, we use gradient descent to update the parameters of our model.
Hackerrank_Problem_Solving
Solving daily problems on hackerrank in python
ICIN-BANK_USER
ICIN is one of the top banking firms that accepts deposits from the public for the purpose of lending loans to the public. It also invests an amount in securities. Recently, the business analysts noticed a drop in the number of customers of the bank. They found out that online banking systems of banks like AXIS and American Express are gaining more profits by eliminating middlemen from the equation. As a result, the team decided to hire a Full Stack developer who can develop an online banking web application with a rich and user-friendly interface.
Implementing-Logistic-Regession
Logistic regression is basically a supervised classification algorithm. In a classification problem, the target variable(or output), y, can take only discrete values for given set of features(or inputs), X. Contrary to popular belief, logistic regression IS a regression model.
Implementing-the-K-Means-Algorithm
the K-means algorithm identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible. The 'means' in the K-means refers to averaging of the data; that is, finding the centroid.
LockedMe.com
Company Lockers Pvt. Ltd. aimed to digitize their products and chose LockedMe.com as a project. This is basically a file handling project in which we need to perform various operations and functionalities using file handling concepts. Data Structures where sorting and searching techniques are used.
Mobile_Price_Classification
Performing Feature Selection on the Mobile Price data, gaining different insights and finding the accuracy for our model after doing feature selection.
Movie-Recommendation-System
This project recommends movies based upon the user preference or movie they chose
Mulesoft-training
Assignments
Recognizing-Handwritten-digits-on-MNIST-dataset-using-KNN
The MNIST dataset (Modified National Institute of Standards and Technology) is a large dataset of handwritten digits that is commonly used for training various image processing systems. The dataset is also widely used for training and testing in the field of machine learning.
Scrapping-Rotten-Tomatoes
Rotten Tomatoes is one of the world's most trusted recommendation resources for quality entertainment. As the leading online aggregator of movie and TV show reviews from critics, they provide fans with a comprehensive guide to what's Fresh – and what's Rotten – in theaters and at home. I have scrapped Rotten tomatoes websites using Web Scrapping technique and found out some most related information from it.
Sentiment-Analysis-using-Neural-Networks
Classifying the movie reviews as positive or negative using Neural Networks
Text-Generation-using-Markov-Chain
Building a Probabistic Model for Text Generation. We can built a character based Model. From a given word It can Identify the next words
Titanic-Survival-Prediction-using-Decision-Trees
Predicting the accuracy of the passengers survived during the Titanic Disaster