sharmaroshan Goto Github PK

abalone-age-prediction

Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.

ads-optimization

Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.

advanced-house-price-prediction

It is a Advanced Problem of Regression which requires advanced techniques of feature engineering, feature selection and extraction, modelling, model evaluation, and Statistics.

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

aerial-cactus-identification

It is an Image Processing Challenge where we have to identify the Aerial Cactus using Deep Learning Techniques. I have used fastai library to make this work even easier.

amazon-alexa-reviews

Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning

amazon-fine-food-reviews

analyzing-crimes-in-indian-states

analyzing-the-dimensions-of-poverty

The Data set is picked from Kaggle which describes the Situation of the Multidimensional Measures around the globe. In this Analysis, I have tried to used Pandas, seaborn, and Ipywidgets for the End to End Analysis of the Subject.

anime-recommendations

avito-demand-prediction-challenge

It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting

basic-python-course

The Course includes all the basic concepts of Python. Python Programming Language is one of the most trending programming languages in the world currently due to it's large applications in different domains and technologies. Python is the first choice for Data Science, Machine Learning, Deep Learning, Computer Vision, Block chain etc.,

big-mart-sales-prediction

Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

bitcoin-price-prediction

black-friday

This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost and AdaBooost etc and check the performance using rmse metrics etc to compare the results.

black-friday-regression-analysis

Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.

board-game-review-prediction

Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteristics such as minimum and maximum number of players, playing time, complexity, etc. Before we get started, we will need to clone a GitH

boston-house-price-predictions

The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning

breast-cancer-wisconsin

This is Data set to Classify the Benign and Malignant cells in the given data set using the description about the cells in the form of columnar attributes. There are Visualizations and Analysis for Support.

c-basic-tutorials

It is a Repository for Basic C++ Programs for Placements

car_evaluation

Evaluating a Car based on some popular attributes which could be beneficial in decision making while purchasing a Car, Who do not have enough knowledge about Cars.

career-village

Applying Analytics and Machine and Deep Learning to answer some of the most intriguing questions from the company.

careercon-robots-need-help

It is Data Science and Machine Learning Competition Hosted by Kaggle where we have to perform multi-class classification on the labels, a very good amount of feature engineering, data preprocessing, data visualizations and modelling is done on the data set to get a good accuracy using random forest and xg boost classifier

cervical-cancer-prediction

In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms for Classifications, Visualizations and Analysis.

christiano-ronaldo---goal-prediction-top-40-

It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achieve the Accuracy. I got a very Satisfiable Accuracy from the Model in both the Training and Testing Sets.

churn-modelling-dataset

Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and applying Machine Learning and Deep Learning on it.

clustering-of-mall-customers

Clustering Analysis Performed on the Customers of a Mall based on some common attributes such as salary, buying habits, age and purchasing power etc, using Machine Learning Algorithms.

coursera-reviews-analysis

It is a Natural Language Processing Problem where we have to decide the sentiments of the users who reviewed the course. and then classifying the reviews into positive and negative.

credit-card-fraud-detection

It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.

crops-and-productions-analysis