a_guide_for_actuarial_science

What is Actuarial analyst ? what are their responsibilities, skills required and interview questions

assignement_2_set_3

assignment-basic-stats-level1

Assignment Basic Stats

assignment_-2_set_4

assignment_2_set_1

Assignment 2 Set 2

assignment_2_set_2

Topics: Normal distribution, Functions of Random Variables

assignment_association_rules

assignment_crime_data_clustering

Content This data set contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 US states in 1973. Also given is the percent of the population living in urban areas.This is a systematic approach for identifying and analyzing patterns and trends in crime using USArrest dataset.

assignment_decision_tree_1

assignment_decision_tree_2

assignment_east-west_airlines

Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters

assignment_hypothesis_test

A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. 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.

assignment_knn_glass

Problem Statement Implement a KNN model to classify the different types of Glass

assignment_knn_zoo

Problem Statement Implement a KNN model to classify the animals into categories

assignment_logistic_regression

Predicting Customer Response to Telemarketing Campaigns for Term Deposit

assignment_multi_linear_regression_1

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.

assignment_multi_linear_regression_2

Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]

assignment_naive_bayes_salary_dataset

Problem Statement Prepare a classification model using Naive Bayes for salary data

assignment_pca_wine_dataset

Case Summary Perform Principal component analysis and perform clustering using first 3 principal component scores (both Heirarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it has 3 clusters)

assignment_random_forest_1

Use Random Forest to prepare a model on fraud data treating those who have taxable income <= 30000 as "Risky" and others are "Good"

assignment_random_forest_2

A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A Random Forest can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis.

assignment_recommendation_system_books

assignment_svm_forest_fire_prediction

assignment_svm_salary_dataset

assignment_web_scraping_emotion_mining

Extract reviews of any product from ecommerce website like amazon

association_rule

book_recommendation_system

Build a Book Recommendation System

clustering_techniques

Hierarchical, KMeans and DBSCAN clustering techniques

co2_emission_forecasting

P-140 Air Quality forecasting(CO2 emissions) Business Objective: To forecast Co2 levels for an organization so that the organization can follow government norms with respect to Co2 emission levels. Data Set Details: Time parameter and levels of Co2 emission

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy