Top 3 places for Practicing Data Science

Understanding K-Nearest Neighbours (KNN) Algorithm: Step-by-Step Tutorial and Implementation

Kaggle API Token: Download Data Directly in Google Colab

History of Deep Learning

Types of Machine Learning

Top 3 places for Practicing Data Science

Image Segmentation (Deep Learning in Computer Vision) #Keras #VGG #OxfordPetDataset

Classification Metrics (Performance Metrics) Part-II #Recall #Precision #FBetaScore #F1Score

Classification Metrics (PerformanceMetrics) Part-I #ConfusionMatrix #Accuracy #Type-I #Type-II Error

Multi-class Image Classification using Keras (Python) on Weather Dataset (Kaggle)

Convert DICOM Images to PNG, JPG, BMP, GIF

Writing Assignments in LaTeX using IEEE Conference Template

Colab for Python Programming

T10: "AI and Data Analytics in Healthcare" By Dr Dheeraj Rathee. GCRF Funded Workshop

T9: "Data Compression in WSN and IoT" By Dr Vishal Krishna Singh. GCRF Funded Workshop

T8: "Deep Learning in IoT" By Prof Shekhar Verma. GCRF Funded Workshop

T7: "Journey from Machine Learning to Deep Learning for Classification" Dr S R Dubey. GCRF Workshop

T6: "Large Scale Data Analytics: Challenges and Possible solutions", By Dr Amrit Pal. GCRF Workshop

T5: "Classification for Big Data Analysis", Dr Manish Kumar. GCRF Funded Workshop

T4: "Learning under Dataset Shift and Transfer Learning" By Dr Haider Raza. GCRF Funded Workshop

T3: "Machine Learning and its Applications in Computer Vision", Dr Rajitha B GCRF Funded Workshop

T2: "Introduction to Machine Learning and Data Dimension" Dr V Semwal GCRF Funded Workshop

T1: "Getting Data Ready for Machine Learning" By Dr Ashutosh Mishra. GCRF Funded Workshop

DLCovid19: A Deep Learning-based Model for Detecting #COVID19 using CT Images

COVID-19 Data Analysis and Prediction: Part-3: Data Analysis and Insights