Topic: "min-max-scaler"
shanuhalli/Assignment-Clustering
Perform Clustering (Hierarchical, K Means Clustering and DBSCAN) for the airlines and crime data to obtain optimum number of clusters. Draw the inferences from the clusters obtained.
Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
vaitybharati/P23.-EDA-1
EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).
Language: Jupyter Notebook - Size: 215 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
sushant1827/Finding-Donors-for-Charity-using-Machine-Learning
Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause
Language: Jupyter Notebook - Size: 792 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1
coreydevinanderson/ESDA.js
Simple statistical functions that are useful for exploratory spatial data analysis (ESDA) on-the-fly in JavaScript
Language: JavaScript - Size: 640 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
RachitaGurudev/Election-Exit-Poll-Prediction
News channel CNBE wants to analyze recent elections. This survey was conducted on 1525 voters with 9 variables. Model is built to predict which party a voter will vote for on the basis of the given information, to create an exit poll that will help in predicting overall win and seats covered by a particular party.
Size: 1.27 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
saikrishnabudi/PCA-Principal-Component-Analysis
Data Science - PCA (Principal Component Analysis)
Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
saikrishnabudi/Clustering
Data Science - Clustering Work
Language: Jupyter Notebook - Size: 4.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
LorenzoRottigni/ML-wines
Machine Learning course of Piero Savastano 6: scaling, MinMaxScaler, KNeighborsClassifier, accuracy_score
Language: Python - Size: 43 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
shanuhalli/Assignment-PCA
Perform Principal component analysis and perform clustering using first 3 principal component scores both Heirarchial and K Means Clustering and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data.
Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
shanuhalli/Assignment-Logistic-Regression
Predicting Customer Response to Telemarketing Campaigns for Term Deposit. Output variable Whether the client has subscribed a term deposit or not.
Language: Jupyter Notebook - Size: 902 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
chinmayeeguru/Lead-Scoring-Logistic-Regression-Model
To predict which customer is most likely to convert
Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
