wargod797

Fault_diagnosis_ballbearing_wavelet

Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity

Support_Vector_Regression

SVR

Wine_LinearDiscriminantAnalysis_Logstic_Regression

Classic Wine Problem with a LDA for better accuracy of the Model

Apriori

Grocery Recommendation or Choice in a Mall for Customer Like Person Who buys the Milk also buys Bread

Artificial_Neural_Network

ANN Model to determine the Potential Bank Customer quit by Categorical data such as credit score salary balance transaction and so on

Class_Multiple

Color_thersholding

Color thersholding

Convolution_Neural_Network

Predicting the image whether the dog or cat

Datapreprocessing

Processing Data for machine Learning application

Decision_Tree_Classifier

Predicting the Product Purchase Over a Social Media By Age and Salary

wargod797/Fault_diagnosis_ballbearing_wavelet

Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity

wargod797/Infrrd-Private-Limited-assignment-Question

Write a program to combine elements into blocks with the given difference.

wargod797/find_string_remove_characters

finding characters in the string of given input

wargod797/find-_string-_and_Replace-_in-_a-_single-_string_input

find and Erase and Replacing Characters from single string input

wargod797/stack_class_constructor

Using classes and constructor write a program to implement stack.

wargod797/file_read_write_cpp

C++ program to Read and write to a file.

wargod797/XGBOOST_BANK

XGBOOST Model Determine Whether the Bank Customer Close the Bank Account or not

wargod797/Support_Vector_Machine_Classification

Predicting the Product Purchase Through Social Media Ads, By age and Salary

wargod797/Logistic_Regression

Logistic Regression to Determine Whether the Customer Buy SUV posted on Social Media

wargod797/Wine_LinearDiscriminantAnalysis_Logstic_Regression

Classic Wine Problem with a LDA for better accuracy of the Model

wargod797/Principal_Component_Analysis

PCA Model to determine and Logistic regression model for Wine Data Analysis

wargod797/Artificial_Neural_Network

ANN Model to determine the Potential Bank Customer quit by Categorical data such as credit score salary balance transaction and so on

wargod797/Convolution_Neural_Network

Predicting the image whether the dog or cat

wargod797/Numpy_Document

all the parameters and use case of numpy

wargod797/Quadratic_Equation__High_Order_Equation_using_Bisection_Netwon_Raphson_Method

Finding Roots for Quadratic equation or high order equation using bi-section method or newton Raphson methods

wargod797/Natural_Langauage_Processing_R

Predicting Whether the Customer Review is Positive or Negative using NLP model and Decision Tree Classification

wargod797/Natural_Language_Processing_Py

NLP model to determine Whether the Customer Review is Positive or Negative using Random Forest Classification and Naive Bayes

wargod797/Apriori

Grocery Recommendation or Choice in a Mall for Customer Like Person Who buys the Milk also buys Bread

wargod797/Thompson_Sampling_RL

Determining max ads Click by Thompson Sampling 'The Multi Armed Bandit Problem' Approach

wargod797/Upper_Confidence_Bound_RL

Determining the Most Ads Click by The Multi Armed Bandit Problem using Reinforcement Learning using Upper Confidence Bound

wargod797/Random_Selection

Selecting the Random Ads amd Calculating Total Clicks

wargod797/Eclat

Grocery Purchase Recommendation in R

wargod797/Hierirchal_Clustering

Grouping the data set based on Salary and Purchase on mall

wargod797/K_Means_Clustering

Clustering the Customer by Spending Score and Income

wargod797/Random_Forest_Classifier

Predicting the Product Purchase over Social Media by Age and Salary

wargod797/Decision_Tree_Classifier

Predicting the Product Purchase Over a Social Media By Age and Salary

wargod797/Network_Scanner_with_Scapy

Scan the Devices IP and MAC address Connect to the Network

wargod797/naive_bayes

Predicting the Product Purchase through Social Media

wargod797/kernal_SVM

Predicting the Customer Purchase on Social Media Ads for Not Linearly Separable Dataset

wargod797/Employee_Bank

Create a class employee with attributes I'd, name, city, salary,age, experience. That class should have function "isheoverpaid" and it should return yes if he paid more than 3experience100000 (for 1 to 5 years) 2.5*experience *100000 for more than 5 years experience. Otherwise it should return no Create class bank customer with attributes name, age, salary, amount. Functions credit and debit. both functions should take credit or debit amount as int, if invalid input is provided then it should ask for valid input for 5 times, after that it should break saying u have reached max. Amount of chances, please try afterwards. If input amount is valid then amount attribute to be updated accordingly