meghashyam-nb Goto Github PK

agricultural-production-optimization-engine

This Project focuses on building a predictive model so as to suggest the most suitable crops to grow, based on the nature of soil and the given climatic conditions.

covid_19

using the world health organization data to analyze the covid case and plotting them in graph to get a better understanding of the crisis.

data_science-_masters

first_streamlit_app

heart-disease-prediction

meghashyam-nb

I am an aspiring data engineer who enjoys connecting the dots: be it ideas from different disciplines, people from different teams, or applications from different industries. I have strong technical skills and an academic background in engineering, statistics, and machine learning.

mlproject

nlp-password-strength-classifier

restaurant-rating-prediction

The main goal of this project is to perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset and build an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features.

salesinsight_tableau

To build a dashboard comprising of multiple charts which gives answer to all the business challenges which gives answer to all the business challenges which an excel file convey.

sentimental-analysis-for-financial-texts

This is a mini-project which analysis financial documents available on the sec website and returns the polarity, complex words, positive score, negative score and several other attributes.

sentimental-analysis-using-twitter-data

snapchat_analysis-tableau

The analysis made here is to find out if the snapchat ads are targeted ones.

spark

spark-programming-in-python

Apache Spark 3 - Spark Programming in Python for Beginners

sql-easy

tata-global-forcasting

Forecasting closing stock prices from a dataset of past 'Tata Global' stock data obtained from Quandl. Applying various ML algorithms including Linear Regression, KNN, ARIMA and, most successfully, a LSTM deep neural network. (Keras, TF backend) achieving an impressively low rmse.

the_sparks-foundation_task

This is the first task of spark foundation and buisness analytics internship.problem statement-Predict score of student who studied for 9.25hrs a day.

titanic_survival_prediction

This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this repository is to provide an example of a competitive analysis for those interested in getting into the field of data analytics or using python for Kaggle's Data Science competitions .