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Predict-Loan-Eligibility-for-Dream-Housing-Finance-company
Dream Housing Finance company deals in all kinds of home loans. They have presence across all urban, semi urban and rural areas. Customer first applies for home loan and after that company validates the customer eligibility for loan. Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have provided a dataset to identify the customers segments that are eligible for loan amount so that they can specifically target these customers. download Dataset for Predict load eligibilty Decision TreeTASK-1-IOT-THE-SPARKS-FOUNDATION
TASK 1-IOT-THE SPARKS FOUNDATIONTask-6-The-Spark-Foundations
LGMVIP-DataScience
LetsGrowMore Data Science InternTASK2-SPARK-FOUNDATIONS
TASK-2-IOT-THE-SPARKS-FOUNDATION
TASK 2 IOT THE SPARKS FOUNDATIONComplete-java-Basics-with-oops
Complete java upto frameworksDSA
DSAImplementation-Of-Spam-Filtering-Using-NLP-Concept-and-All-Machine-Learning-Algorithms
Implementation Of Spam Filtering Using NLP Concept and All Machine Learning Algorithmsconvert-image-to-cartoonish
Using opencv convert your image to cartoon imageDetect-Number-of-Faces-Using-OpenCV
Detect Number of Faces Using OpenCVNotepad-Application-using-Tkinter
Notepad Application using TkinterSnake-Game-Pygame
the Snake game using PygameComplete-java-Framework
java framework collections classes and interfacesMergePDF-using-Tkinter
MergePDF using TkinterConvert-JPEG-image-to-PNG-Image-Converter-Using-Tkinter
Convert JPEG image to PNG Image Converter Using TkinterTask-3-Sparks-foundations
this task is to perform EDA on retail shopChat-Application-Using-Tkinter-
This ia s chat application with client and server on single device .GUI-Calculator-using-Tkinter
GUI Calculator in Tkintertask-7the-Sparks-Foundation
task 7the Sparks FoundationPersonal-Assistant-to-get-all-files-and-folder-open-in-pc
Personal Assistant to get all files and folder open in personal computer using speech recognization in pythonBest-Enlist-CV-2021-Python-Internship-Assignments-Task-
This repository consist of all the assignments documents given by Best Enlist CV 2021 Python Internship .I am glad to be a part of this internship .Thank you for giving me this opportunity450-DSA-question-in-java
450 DSA QuestionsPredicting-HR-Employee-Attrition-using-Logistic-Regression
Predict retention of an employee within an organization such that whether the employee will leave the company or continue with it. An organization is only as good as its employees, and these people are the true source of its competitive advantage. Dataset is downloaded from Kaggle. First do data exploration and visualization, after this create a logistic regression model to predict Employee Attrition Using Machine Learning & Python.Naive-Bayes-classifiers-to-predict-whether-a-passenger-on-the-titanic-would-have-been-survived-or-no
Naive Bayes classifiers are built on Bayesian classification methods. These rely on Bayes's theorem, which is an equation describing the relationship of conditional probabilities of statistical quantities. Create a Model using Naive Bayes classifiers to predict whether a passenger on the titanic would have been survived or not. Dataset can be downloaded from Kaggle.Predicting-the-digits-dataset-using-SVM
Train SVM classifier using sklearn digits dataset (i.e. from sklearn.datasets import load_digits) and then,Measure accuracy of your model using different kernels such as rbf and linear.Tune your model further using regularization and gamma parameters and try to come up with highest accurancy score.Used 80% of samples as training data sizePython-News-API
Generating the daily news using python and generating resultant news through APITask1_The_Spark_Foundation
GRIP : The Spark Foundation ( Data Science and Business Analytics Intern ) Author :Dhivya S Prediction using Supervised ML (Level - Beginner) β Predict the percentage of an student based on the no. of study hours. β This is a simple linear regression task as it involves just 2 variables. β You can use R, Python, SAS Enterprise Miner or any other tool β Data can be found at http://bit.ly/w-data β What will be predicted score if a student studies for 9.25 hrs/ day? β Sample Solution : https://bit.ly/2HxiGGJ Supervised machine learningis a type of machine learning in which the machine is fed the training data which is labelled. Supervised machine learning is further categorized into regression and classification Linear regression is probably the simplest approach for statistical learning. It is a good starting point for more advanced approaches, and in fact, many fancy statistical learning techniques can be seen as an extension of linear regression. Therefore, understanding this simple model will build a good base before moving on to more complex approaches.Output type- continuous (number)Practice-KNN---We-have-a-dataset-that-contains-multiple-user-s-information-through-the-social-networ
Practice KNN - We have a dataset that contains multiple user's information through the social network who are interested in buying SUV Car or not.Student-management-curd-operation-jdbc
Login-user-page
The user Login page where user can register and use page Cookie and session are implementedOnline-bank-using-jdbc-
Creating online bank java console application with postgresql databaseEmployee-Managemnt-CURD-opeartion-with-core-java-
Student-Management-System-Console-Application-java
Online-Shopping-Application
Online shopping application using Servlet and JSP in javaMusic-Player-App
Core java console application using linkedList collection frameworkStudents-result-management-application-using-jsp-and-servlet
The student management app where the student can login through register number and check result uploaded by the administratorRecommendation-of-movies-end-to-end-ml-mini-project
Movie recommendation system using machine learning similarity count , Finding the similar movies and recommend to the end user . This system have frontend flask framework .TeleCommunication-Application
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