Jaya Verma's Projects
Developed a deep learning algorithm predicting customers’ next purchase in an Audiobook App, using 2 years of activity data. Implemented a deep learning network model with ReLU and softmax activations, employing the Adam optimizer. Achieved a commendable 82% accuracy, showcasing strong data analysis and predictive modeling skills.
Codiv-19 vaccination Data Analysis is a Data Analysis project where I have worked on a Real World Codiv-19 vaccination Data set With more than 18000 of rows and 15 columns covering 195 countries vaccination drive data. I have used different Python libraries(i.e. Numpy, Pandas and Matplotlib) to make my Analysis more interactive and readable.
This is a kind of notes where each data visualization plot require to know in data analysis is plotted.
Implementations includes various operations Of image Processing Using OpenCV Python
A toolkit for the automatic construction of self-labeled materials imaging datasets from scientific literature
This is a guide for how one can prepare for GRE within a month's duration.
An inventory management system project that allows user to manage and maintain his/her inventory with ease. This inventory management system has been developed to allow users to add item to an inventory, delete item from inventory, Purchase item from Inventory, Update price of the product in the inventory and other details, update inventory status and also get a Sales.json file for the sales record purpose.
Java Tutorial For Beginners with 500 Code Examples
🔥Highlighting the top ML papers every week.
Public repo for the 365 Data Science ML Process Course
Tutorials For Beginners For Natural Language Processing
The fundamental package for scientific computing with Python.
Olympics Data Analysis is a Data Analysis project where I have worked on a Real World Olympics Data set With more than 31000 of rows and 9 columns. I have used different Python libraries(i.e. Numpy, Pandas and Matplotlib) to make my Analysis more interactive and readable.
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
It’s a Machine Learning based prediction model used to predict weather the hotel booking going to be cancelled or not by reading a large dataset and analyzing it. The Objective of this project was to have hands-on experience with ML Algorithms on real world data set. ML Algorithm used Decision Tree Classifier, Gaussian NB, Random Forest Classifier, K Neighbors Classifier, Logistic Regression and out off all these algorithms Random Forest Classifier works the best with 95.27% Accuracy. Software used: IDE – JUPYTER NOOTBOOK
This is a type of Python mini project on routine database system using Tkinter python is successfully running. It is one of the useful projects for a working person, students to maintain their proper routine. It is useful for various people in different sectors to store data as well.
It is a two in one project where we are using python in build libraries like GTTS and Speech recognition to convert text-to-speech and speech-to-text
This is a word cloud based project where I have extracted the text from a .csv file and did some preprocessing into the txt to get useful analysis and also encoded the entire txt into unique integers which is the concept use into Natural Language Processing(NLP).