kedarvkunte
Data Scientist | Master's Degree & Industry Exp. | Machine Learning | Data Analytics | Deep Learning | Python,SQL,R,Tableau | linkedin.com/in/kedarvkunte/
kedarvkunte's Stars
kedarvkunte/Prediction_with_SVM_on_Tumor_Dataset
Here classification on the tumor dataset is performed using Support Vector Machine. Tumor dataset has nine features and a binary output. Nine features correspond to measurements obtained from medical imaging data. The output labels are logic 1 or 0 and corresponds to the presence or absence of tumor
kedarvkunte/Data-Visualization-and-State-Prediction-using-Bayesian-Inference-with-Markov-Chain-Monte-Carlo
In this project, the state of the object is predicted using Bayesian Inference Markov Chain Monte Carlo (MCMC) algorithm. For Data visualization, I used Matplotlib to correctly observe the Convergence to Stationary Distribution by plotting Histogram and Bar Charts. Successfully achieved low Mean Squared Error of 0.0003 for various test cases involving prior-posterior probability.
kedarvkunte/TensorFlow-based-Text-Classification-with-Convolutional-Neural-Networks-Deep-Learning-in-NLP-
Successfully implemented Sentiment Analysis, a Natural Language Processing (NLP) task using TensorFlow, a Deep Learning framework on shallow Convolutional Neural Networks (CNN) architecture
kedarvkunte/Advanced-SQL-Tableau-Integration-for-Business-Intelligence-on-Large-Database
Successful SQL + Tableau Integration which provides insights into Business Intelligence with the help of SQL queries and visualizing the Data in Tableau to create Dashboard for Employees
kedarvkunte/SQL-for-Data-Analytics-and-Business-Intelligence-using-MySQL-Workbench
SQL is a standard language for storing, manipulating and retrieving data in databases. It is most commonly used in Data Analytics and Business Intelligence. Here all the SQL queries are written using MySQL WorkBench. Used a big database consisting of many tables to perform operations using various SQL queries.
kedarvkunte/Understanding-Python-concepts-with-Jupyter-Notebook
Python concepts can be best understood with the help of Jupyter Notebook
kedarvkunte/CSV-Data-Extraction-and-Exploration_with_Numpy
Successfully carried Exploratory Data Analysis with the help of Numpy module
kedarvkunte/Gauss_Jordan_Elimination_and_Linear_Regression
The Gauss-Jordan Elimination and Ordinary Least Squares Linear Regression is carried out. Unit tests are provided for testing various test cases. Python libraries used are Numpy, Timeit, Unittest, Sklearn, Matplotlib.
kedarvkunte/Probability-and-Statistics-with-the-help-of-Python
In this project, the inverse normal Cumulative Distribution Function (CDF), Monte Carlo Expected Value have been implemented with the help of Python functions.
kedarvkunte/Significant-Memory-Reduction-via-Unsupervised-Learning-with-PCA-and-K-Means-clustering-on-image-data
In this project, unsupervised learning is implemented with the help of python modules. Memory reduction is achieved using image compression via unsupervised learning algorithms.