Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by Gandhasiri-Rahul-Mohan
A curated list of projects in awesome lists by Gandhasiri-Rahul-Mohan .
https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/random-forests-q1-fraud_check
Use Random Forest to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"
data-science machine-learning numpy pandas python random-forest
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/multi-linear-regression-q2-50_startups
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.
data-science machine-learning multilinear-regression python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/clustering-q2-eastwestairline
Perform clustering (hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.
clustering data-science dbscan-clustering hierarchical-clustering kmeans-clustering machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/text-mining-q2-text-data
1) Extract reviews of any product from ecommerce website like amazon 2) Perform emotion mining
data-science machine-learning python spacy-models text-mining
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/support-vectore-machine-q1-forestfires
classify the Size_Categorie using SVM
data-science machine-learning python support-vector-machines
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/linear-regression-1-delivery_time
Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python.
data-science machine-learning python simplelinearregression
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/recommendation-system
Problem statement. Build a recommender system by using cosine simillarties score.
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/support-vector-machine-q2-salary_data
Prepare a classification model using SVM for salary data
data-science machine-learning python support-vector-machines
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/text-mining-q1-elan_mosk
ONE: 1) Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv)
data-science machine-learning python spacy-models text-analysis text-mining
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/hypothesis-testing-3-labtat
Analyze the data and determine whether there is any difference in average TAT among the different laboratories at 5% significance level.
data-science hypothesis-testing machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/naive-bayes-salary-data
Prepare a classification model using Naive Bayes for salary data
categorical-data data-science machine-learning naive-bayes-classifier python supervised-learning
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/linear-regression-2-salary_data
Salary_hike -> Build a prediction model for Salary_hike. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python.
data-science linear-regression machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/association-rules-2-my-movies
Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-learning
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/decision-tree-q2-fraud_data
Use decision trees to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"
data-science decision-trees machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/hypothesis-testing-4-cutlets
A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validity of the assumptions.
data-science hypothesis-testing machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/forecasting-q2-airlines
Forecast the Airlines Passengers data set. Prepare a document for each model explaining.
data-science forecasting machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/forecasting-q1-cocacola
Forecast the CocaCola prices
data-science forecasting machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/hypothesis-testing-2-customerorderform
. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5% significance level and help the manager draw appropriate inferences
data-science hypothesis-testing machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/principal-component-analysis
Perform Principal component analysis and perform clustering using first 3 principal component scores
agglomerative-clustering data-science dbscan-clustering heirarchical-clustering kmeans-clustering machine-learning pandas principal-component-analysis python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/neural-networks-q1-forestfires
PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS
data-science machine-learning neural-networks nlp pandas python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/multi-linear-regression-q1-toyotacorolla
Consider only the below columns and prepare a prediction model for predicting Price.
data-science machine-learning multilinear-regression python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/decesion-tree-q1-company_data
Problem Statement: A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
data-science decision-trees machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/clustering-q1-crime_data
Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.
clustering data-science dbscan-clustering hierarchical-clustering kmeans-clustering machine-learning python
Last synced: 14 Nov 2024
https://github.com/gandhasiri-rahul-mohan/neural-networks-q2-gas_turbines
The dataset contains 36733 instances of 11 sensor measures aggregated over one hour (by means of average or sum) from a gas turbine.
data-science machine-learning neural-network nlp python-3-6
Last synced: 12 Oct 2024