Pinned Repositories
-Basic-Statistics_Level-1
-Basic-Statistics_Level-2
Basic-Statistics_Level-2
_Hypothesis-Testing-
TeleCall uses 4 centers around the globe to process customer order forms. 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.
Assignment-no-4-Q1-simple-linear-regression-
Delivery_time -> Predict delivery time using sorting time
Clustering
Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.
Clustering-
Perform clustering (hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters.
EdHuskTASK
FlappyBirdGame
Flappy Bird is a mobile game developed by Vietnamese video game artist and programmer Dong Nguyen, under his game development company dotGears. The game is a side-scroller where the player controls a bird, attempting to fly between columns of green pipes without hitting them
Hypothesis-Testing
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.
predict-maintenance
Wajid1998's Repositories
Wajid1998/predict-maintenance
Wajid1998/Machine-Failure-Prediction
Machine Failure Prediction
Wajid1998/WajidSain
Config files for my GitHub profile.
Wajid1998/brighterFuture.github.io
Wajid1998/california_housing
Wajid1998/COVID-19-Analysis
COVID-19 (Corona Virus Disease 2019)
Wajid1998/Decision-Tree
Use decision trees to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"
Wajid1998/Decision-Trees
A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A decision tree can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis
Wajid1998/E-commerce-Recommender-System
Online E-commerce websites like Amazon, Flipkart uses different recommendation models to provide different suggestions to different users
Wajid1998/Face-Detection
Wajid1998/Fitness-Watch-Data-Analysis
Fitness Watch Data Analysis is a crucial tool for businesses in the health and wellness domain. By analyzing user data from fitness wearables, companies can understand user behaviour, offer personalized solutions, and contribute to improving users’ overall health and well-being.
Wajid1998/Forecasting
Forecast the CocaCola prices
Wajid1998/Forecasting-
Forecast Airlines Passengers data set.
Wajid1998/Healthcare-WIC
Analysis on Healthcare data using Excel, Tableau,Sql and PowerBi
Wajid1998/KNN
Implement a KNN model to classify the animals in to categorie
Wajid1998/KNN_
Prepare a model for glass classification using KNN
Wajid1998/Legal_Advisor
Wajid1998/MLProject-ChurnPrediction
Wajid1998/Neural-Networks
predicting turbine energy yield (TEY) using ambient variables as features.
Wajid1998/Neural-Networks-
PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS
Wajid1998/Property-Insurance-Fraud-Detection-
PROPERTY INSURANCE FRAUD DETECTION
Wajid1998/Random-Forests
Use Random Forest to prepare a model on fraud data treating those who have taxable_income <= 30000 as "Risky" and others are "Good"
Wajid1998/Road-Accidental-Report
Wajid1998/Support-Vector-Machines-Previous-Subsection
Prepare a classification model using SVM for salary data
Wajid1998/Support-Vector-Machines-Previous-Subsection-
classify the Size_Categorie using SVM
Wajid1998/The-Spark-Foundation-Internship-Task-06
Task 06: Prediction using Decision Tree Algorithm. Create the Decision Tree classifier and visualize it graphically. We will be using iris dataset for this task which consists of 4 features (sepal length, sepal width, petal length and petal width) and 3 species of iris (setosa, versicolor and virginica)
Wajid1998/The-Spark-Foundation-Task-01
Task 01 :- Predicting Using Supervised ML. Predict the percentage of an student based on the no. of study hours.
Wajid1998/The-Spark-Foundation-Task-02
'Iris' dataset, predict the optimum number of clusters and represent it visually.
Wajid1998/The-Spark-Foundation-Task-03
Task 03: Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’. As a business manager, try to find out the weak areas where you can work to make more profit.
Wajid1998/The-Spark-Foundation-Task-05
Exploratory Data Analysis - Terrorism. Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’.