Discover DhivyaRenuka/TASK2-SPARK-FOUNDATIONS Open Source project

TASK 1-IOT-THE SPARKS FOUNDATION

TASK-1-IOT-THE-SPARKS-FOUNDATION

Task-6-The-Spark-Foundations

LetsGrowMore Data Science Intern

LGMVIP-DataScience

HTML

TASK-2-IOT-THE-SPARKS-FOUNDATION

TASK 2 IOT THE SPARKS FOUNDATION

Complete java upto frameworks

Complete-java-Basics-with-oops

DSA

Implementation Of Spam Filtering Using NLP Concept and All Machine Learning Algorithms

Implementation-Of-Spam-Filtering-Using-NLP-Concept-and-All-Machine-Learning-Algorithms

Using opencv convert your image to cartoon image

convert-image-to-cartoonish

Detect Number of Faces Using OpenCV

Detect-Number-of-Faces-Using-OpenCV

Notepad Application using Tkinter

Notepad-Application-using-Tkinter

the Snake game using Pygame

Snake-Game-Pygame

java framework collections classes and interfaces

Complete-java-Framework

MergePDF-using-Tkinter

MergePDF using Tkinter

Convert JPEG image to PNG Image Converter Using Tkinter

Convert-JPEG-image-to-PNG-Image-Converter-Using-Tkinter

this task is to perform EDA on retail shop

Task-3-Sparks-foundations

HTML

Chat-Application-Using-Tkinter-

This ia s chat application with client and server on single device .

GUI Calculator in Tkinter

GUI-Calculator-using-Tkinter

task 7the Sparks Foundation

task-7the-Sparks-Foundation

Personal Assistant to get all files and folder open in personal computer using speech recognization in python

Personal-Assistant-to-get-all-files-and-folder-open-in-pc

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 opportunity

Best-Enlist-CV-2021-Python-Internship-Assignments-Task-

450-DSA-question-in-java

450 DSA Questions

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.

Predicting-HR-Employee-Attrition-using-Logistic-Regression

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.

Naive-Bayes-classifiers-to-predict-whether-a-passenger-on-the-titanic-would-have-been-survived-or-no

Build a spam filter using Python and the multinomial Naive Bayes algorithm. Check Spam or Ham? Email Classifier Using Python using MultinomialNB.

Build-a-spam-filter-using-Python-and-the-multinomial-Naive-Bayes-algorithm.-

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 size

Predicting-the-digits-dataset-using-SVM

Generating the daily news using python and generating resultant news through API

Python-News-API

GRIP : The Spark Foundation ( Data Science and Business Analytics Intern ) Author :Dhivya S Prediction using Supervised ML (Level - Beginner) ● Predict the percentage of an student based on the no. of study hours. ● This is a simple linear regression task as it involves just 2 variables. ● You can use R, Python, SAS Enterprise Miner or any other tool ● Data can be found at http://bit.ly/w-data ● What will be predicted score if a student studies for 9.25 hrs/ day? ● 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)

Task1_The_Spark_Foundation

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.

Practice-KNN---We-have-a-dataset-that-contains-multiple-user-s-information-through-the-social-networ

Student-management-curd-operation-jdbc

The user Login page where user can register and use page Cookie and session are implemented

Creating online bank java console application with postgresql database

Online-bank-using-jdbc-

Employee-Managemnt-CURD-opeartion-with-core-java-

Student-Management-System-Console-Application-java

Online shopping application using Servlet and JSP in java

Online-Shopping-Application

Core java console application using linkedList collection framework

Music-Player-App

The student management app where the student can login through register number and check result uploaded by the administrator

Students-result-management-application-using-jsp-and-servlet

CSS

Recommendation-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