mohvam98 Goto Github PK

100daysofcode

Codeshows 100DaysOfCode repository

algoexpert

The repo for my solutions of AlgoExpert problems

amazon_fine_food_review

The Amazon Fine Food Reviews dataset consists of 568,454 food reviews. This dataset consists of a single CSV file, Reviews.csv

aps-failure-of-scania

Prediction of Failures in the Air Pressure System of Scania Trucks

chatbot-using-recurrent-neural-networks

A conversational agent or a chatbot is piece of software which can communicate with human users with the help of natural language processing (NLP). Modelling conversation is a very crucial task in natural language processing and artificial intelligence (AI). Since the discovery of artificial intelligence, creating a good chatbot is one of the field’s hardest and complex challenges. Chatbots can be used for various tasks such as make phone calls, provide reminders etc; in general they have to understand users’ utterances and provide relevant responses for the problem in hand. Previously, methods which were used for constructing chatbot architectures relied on hand-written rules, templates or simple statistical methods. Rising and innovating field of deep learning have replaced previous models with trainable neural network models. The recurrent encoder-decoder model is the dominating model in the field modelling conversations. Multiple variations and features have been presented that have changed the quality of the conversation that chatbots are capable of. In our project, we have surveyed recent literatures published, examining various publications related to chatbots. We started with taking Cornell movie dialogue corpus as our dataset then after training our model with it and fine tuning it with various parameters, non-satisfactory results lead us to take another dataset and we trained and tested our final model on modified Gunthercox dataset which gave us satisfactory results for an open domain chatbot or general domain chatbot.

data-structures-algorithms-level-up-bootcamp

C++ Code Repository.

dlaicourse

Notebooks for learning deep learning

fake_news_classification

fake_news_twitter

heart_disease_prediction

image-captioning

interview-prep-cpp

My solutions to coding interview problems on Leetcode, Algoexpert, Codewars and other interview preparation websites

ml-bot

mohvam98.github.io

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

near-duplicate-video-detection

Detecting near-duplicate videos by aggregating features from intermediate CNN layers

practical-statistics-for-data-scientists

Code repository for O'Reilly book

predict-traffic-volume

python

python-data-science-mastercourse

Python for data science mastercourse

triangle_sector_similarity

It takes two vectors as an input and prints and can return Cosine Similarity, Eucledian Distance, Triangle Area - Sector Area Similarity.

wns_challenge