5 Minutes Engineering
Myself Shridhar Rajendra Mankar an Engineer l YouTuber l Educational Blogger l Educator l Podcaster.
My Aim- To Make Engineering Students Life EASY.
On 5 Minutes Engineering you can find EASIEST explanations for all below mentioned subjects in DESI HINDI
Aptitude
Machine Learning
Deep Learning
C, R and Python Programming Languages
Discrete Mathematics (DM)
Theory Of Computation (TOC)
Artificial Intelligence(AI)
Database Management System(DBMS)
Software Modeling and Designing(SMD)
Software Engineering and Project Planning(SEPM)
Data mining and Warehouse(DMW)
Data analytics(DA)
Mobile Communication(MC)
Computer networks(CN)
High performance Computing(HPC)
Operating system
System programming (SPOS)
Internet of things(IOT)
Design and analysis of algorithm(DAA)
For Business Enquiry / Promotions / Collaborations Contact me at : [email protected]
Variance Vs Standard Deviation Explained with Example in Hindi | Statistics Series
Complete Numpy in 4 Hours + Free Notes | One Shot Series (Hindi)
Complete Pandas in 2 Hours + Free Notes | One Shot Series (Hindi)
Complete SQL in 3 Hours | SQL One Shot Using MySQL in Hindi | Free Notes
Naive Bayes Classifier Algorithm Explained with Solved Numerical in Hindi | Machine Learning Course
Linear Regression using Least Squares Method Explained with Solved Numerical(Hindi) Machine Learning
Multiple Linear Regression Explained with Solved Numerical in Hindi | Machine Learning Course
Multiple Dependent Variables Explained with Detailed Solved Numerical in Hindi | Machine Learning
Logistic Regression Explained with Detailed Solved Numerical in Hindi | Machine Learning Course
Principal Component Analysis Part-4 Explained with Solved Example in Hindi | Machine Learning Course
Sum of Squares | SST, SSR, SSE Explained in Hindi | Machine Learning Course
Kmeans++ Clustering Explained in Hindi | Machine Learning Course
Confusion Matrix for Multi-Class Classification Explained in Hindi | Machine Learning Course
How to find the value of K in KNN Algorithm | Explained in Hindi | Machine Learning Course
K-Nearest Neighbor Regression | KNN Regression Explained with Solved Numerical in Hindi
K-Nearest Neighbor Regression | KNN Regression Intuition Explained (Hindi) | Machine Learning Course
Complete Linkage Clustering Explained with Solved Numerical in Hindi | Machine Learning Course
Single Linkage Clustering Explained with Solved Numerical in Hindi | Machine Learning Course
Why we don't use Linear Regression for Classification | Explained in Hindi | ML Interview Series
Ultimate Data Bootcamp 2.0🔥🚀
Data Ingestion in Data Engineering Explained with Example in Hindi | Data Engineering Series
Half Range Series | Sine and Cosine Series | Fourier Series | In Hindi | Engineering Mathematics
Fourier Series Even Function Solved Numerical Explained in Hindi | Engineering Mathematics Series
Fourier Series | Even and Odd Functions | Explained in Hindi | Engineering Mathematics Series
Fourier Series Type 2 Solved Numerical Explained in Hindi | Engineering Mathematics Series
Population Vs Sample Explained in Hindi | Statistics for Data Science
Fourier Series Explained with Solved Numerical in Hindi | Engineering Mathematics Series
Prerequisite Video for Fourier Series | Must Watch | Engineering Mathematics Series
Even and Odd Functions Explained with Solved Numericals in Hindi | Engineering Mathematics Series
Basic Integration Formulas Explained in Hindi | Engineering Mathematics Series