Pinned Repositories
-Analyses-the-features-of-Orthopedic-patients-and-making-a-decision-whether-a-patients-is-Normal-or-
#Analyses the features of Orthopedic patients and making a decision whether a patients is Normal or Abnormal. Algorithms Used : K-NN Testing Score : 83% K-NN Training Score : 75% Naive Bayes Testing Score : 76% Naive Bayes Training Score : 78% Precision = TP / (TP + FP) Precision : 0.886 Recall = TP /(TP + FN) Recall : 0.8703 F1_score = 2*(Precision*Recall)/(Precision+Recall) F1_score : 0.8785 Key Activities : 1. Normalization 2. EDA 3. Classification_report 4. StandardScaler 5. Feature importance
10.Linear-Regression-Covariance-variance-calculation-
All-you-need-to-know-about-SEABORN-
Breast-Cancer-Prediction-AND-Model-Accuracy-Measurement
check-whether-a-Orthopedic-patients-is-Normal-or-Abnormalnot
KNN :K-nearest neighbors (KNN) algorithm is a type of supervised ML algorithm which can be used for both classification as well as regression predictive problems. However, it is mainly used for classification predictive problems in industry. The following two properties would define KNN well − Lazy learning algorithm − KNN is a lazy learning algorithm because it does not have a specialized training phase and uses all the data for training while classification. Non-parametric learning algorithm − KNN is also a non-parametric learning algorithm because it doesn’t assume anything about the underlying data
EDA-on-Wind-Data-Set
EDA-on-zomato-dataset.
Learn-Numpy-in-python
it's includes the essential techniques of numerical python towards the DATA SCIENCE
Learn-Pandas-in-python
Linear-Regression
573-pankaj's Repositories
573-pankaj/3D_UNET
573-pankaj/573-pankaj
This is the Descriptions of my Data Journey !!
573-pankaj/anisul-islam
This repository contains my GitHub profile and also a detailed portfolio.
573-pankaj/APIforHeroku
Deploying ML model API in Heroku
573-pankaj/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
573-pankaj/awesome-public-datasets
A topic-centric list of HQ open datasets.
573-pankaj/Bank-Customers-Segmentation-Power-BI-Dashboard
573-pankaj/Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
573-pankaj/Decision-Tree-Algorithm
All you need to Know about decision tree
573-pankaj/EDA_on_Breast_Cancer_Dataset
573-pankaj/Github-Actions
573-pankaj/github-documentation
In this repo, I will share my git and GitHub knowledges with you.
573-pankaj/HTML_Basic_01
573-pankaj/ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
573-pankaj/Intermediate-Github-Test-Repo
573-pankaj/Linear-Algebra-for-Data-Science
573-pankaj/MATH-260
Multivariate Data Analysis
573-pankaj/Minor-Project-2nd-semester
573-pankaj/MLproject
573-pankaj/MRI-Registration-Techniques-using-Antspy
573-pankaj/Neuro_Science
573-pankaj/Patronizing-and-Condescending-Language-PCL-Detection
573-pankaj/Potato-Disease-Classification-using-Computer-Vision
573-pankaj/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
573-pankaj/pytorchTutorial
PyTorch Tutorials from my YouTube channel
573-pankaj/ReadMe-Template
A Basic Template for Readme File
573-pankaj/San-Francisco-Airport-Analysis
Developed Airport and Airline data analysis dashboard using power bi
573-pankaj/Tell-your-Story
Tell me about your life story.
573-pankaj/test
This is a test repository for practicing git github knowledge.
573-pankaj/Work-on-Pima-Indians-Diabetes-Database
This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.