What is Image Segmentation? In the field of digital image processing and computer vision, Image Segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions. As we all know, an image can contain multiple objects. Each object in the image is represented by a set of…

TABLE OF CONTENTS:- PROBLEM OVERVIEW DATASET SOURCE AND DESCRIPTION BUSINESS METRIC AND KPI APPROACH TO SOLVE THE PROBLEM BASIC EXPLORATORY DATA ANALYSIS CODE SNIPPETS AND OUTPUTS FUTURE WORK CODE FOR THE PROJECT REFERENCES PROBLEM OVERVIEW:- This problem which we would be dealing here is a multi-class classification problem of price range prediction for images of…

TABLE OF CONTENTS:- INTRODUCTION TO QUORA BUSINESS PROBLEM/OBJECTIVE CONSTRAINTS DATASET SOURCES AND DESCRIPTION APPROACHES TO THE PROBLEM MAPPING TO A ML PROBLEM EXPLORATORY DATA ANALYSIS BASIC FEATURE EXTRACTION AND IT’S IMPORTANCE TEXT PREPROCESSING ADVANCED FEATURE EXTRACTION AND IT’S IMPORTANCE TF-IDF WEIGHTED MEAN VECTOR FEATURES FINAL FEATURES BUILDING A RANDOM MODEL FIRST CUT ML…

TABLE OF CONTENTS:- 1. INTRODUCTION 2. PROBLEM STATEMENT 3. LIBRARIES USED 4. STRUCTURE OF THE GIVEN DATA 5. BUSINESS METRIC 6. APPROACH FOLLOWED 7. VIDEO FRAME EXTRACTION 8. GENERATION OF IMAGE BATCHES 9. MODELS USED 10. PERFORMANCE OF THE MODELS 11. GENERATING THE TEST PREDICTIONS 12. SOURCE CODE 13. REFERENCES INTRODUCTION A video is a sequence of frames which can be considered as still images containing some information. However, as a video is time based, so in many cases, the frames of the video can be considered to be in a particular sequence. …

TABLE OF CONTENTS:- INTRODUCTION DATA BUSINESS OBJECTIVES AND CONSTRAINTS MAPPING TO A ML PROBLEM PERFORMANCE METRIC EXPLORATORY DATA ANALYSIS AND DATA PREPROCESSING FEATURE ENGINEERING VALIDITY OF THE ENGINEERED FEATURES TSNE PLOTS AND CDFS OF THE FEATURES CLASSICAL MACHINE LEARNING TECHNIQUES SUMMARY OF RESULTS FOR THE BEST ML MODELS SCOPE OF IMPROVEMENTS DEEP LEARNING…

Table of Contents:- Introduction to Natural Language Processing Deep Learning Based Approaches and RNNs Sequence to Sequence Modelling Machine Translation — An application of Natural Language Processing Encoder — Decoder Architecture Performance Metric Teacher Forcing Code for Encoder — Decoder Attention Mechanism Types of Attention Code for Attention Layer Github Repo References Introduction to Natural Language Processing

Table of Contents:- Ensembles — An Introduction Bootstrapping What is Bagging? Mathematical Intuition of Bagging Random Forest — A special Case of Bagging Failure Cases of Random Forest References Ensembles — An Introduction Starting from the scratch, we must know what does the word Ensemble represent? The word Ensemble means a group of things as in experts or a group of musicians. It is also referred to as a technique to combine the opinions of various experts and arrive at a single opinion…

INTRODUCTION The problem of object detection can be categorized as detecting where an object is, in a particular image and thereafter classifying that image belonging to a particular category. IOU (Intersection Over Union) The metric on which the performance of the algorithm is judged is based on a concept of Intersection Over Union which is…