Anishka Sachdeva's repositories
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
CodeMix_Generation-NLP_Project
Built a machine learning seq-to-seq model with 'Attention' mechanism to generate a model similar to machine translation models that translates monolingual sequence to code mix sequence and vice-versa.
Audio-Emotion-Visualizer
The project aims to build a machine learning model to predict perceived emotions based upon a set of acoustic features extracted from any audio. Further, the obtained results are used to build an audio emotion visualizer in Python. The tool predicts and displays the emotional trajectory based on the three dimensional affective space (dimensions being valence, energy and tension) using the PLS regression model, which gave promising results.
Data_Analytics
Added the Data Analytics-I Projects. The projects includes implementations of Classification (K Nearest Neighbours and Decision Trees), Clustering (K-Means, Hierarchical Clustering and DBScan) and Frequent itemsets mining (Apriori and FP-Growth) algorithms. It also includes analysis and observations of large datasets using these algorithms.
Library_Management_System
A Library Management System application designed to automate the functions of a library like issuing and returning books, storing the books, updating the database etc. using SQL and Python.
Monitoring_Water_Level
A team project to build a system to determine the water level in overhead tanks using ESP32 Node MCU and send the data to OneM2M cloud for Data Analytics.
Shopping-Mart
Made a web application based on vendor-customer interface for bulk shopping using MERN Stack development
Client_Server_Architecture_using_RMI
Implemented a simple single server architecture with support for multiple clients using RMI (Remote Method Invocation) in Java to find the cost of Miinimum Spanning Tree.
Game-Design-and-Engineering-Project
A keyboard game made in Python using the "pygame" library. It is based upon a narrative of a sailor caught up in a haunted laboratory and includes a basic game play of 8-10 minutes. The player can collect treasures, attract spirits, kill spirits and the end task is to find and collect a fuel bottle in the closed maze structured laboratory. Additional features include pausing and resuming the game, options to mute and unmute game sounds, changing key controls, maintaining a leader board etc.
Jetpack_Joyride_Game
Built a terminal based game in Python3 using the OOPS concept ,heavily inspired by Jetpack Joyride where the user will control the player, move it up, forward and backward, while collecting coins and fighting/dodging its enemies on the way.
MDL_Assignment1
Machine, Data and Learning Assignment based on Bias Variance trade-off
MDL_Assignment2_Part2
Machine, Data and Learning Assignment based on Value Iteration Algorithm
MDL_Assignment2_Part3
Machine, Data and Learning Assignment based on Linear Programming Problem
MDL_Assignment3
Machine, Data and Learning Assignment based on Genetic Algorithm
MDL_Assignment4
Machine, Data and Learning Assignment based on Decision Tree (for continuous variables)
N-Gram_Language_Modeling
Built N-gram language models for two different different text corpus. Applied smoothing techniques, namely, Kneser Ney and Witten Bell. Calculated perplexity scores for each sentence of both the corpus for each of the models and also calculated average perplexity score on the train corpus. Compared and analyzed the behaviour of the different LMs.
Neural-Language-Modeling
Implemented LSTM Language Model trained on the Brown Corpus. Performed data cleaning and used inbuilt libraries for tokenization. Calculated the perplexity scores for each sentence of train, validation and test corpus. Compared the perplexity scores of the statistical n-gram language model and neural language model trained on the Brown Corpus.
NLP_Lab-A-WebApp
Replicated an experiment on Natural Language Processing (NLP) Lab on http://www.vlab.co.in/. Converted the backend based on Python using the Flask framework and modified the front end.
OS_Assignment4
Operating Systems Assignment based on Process Scheduling
SkillMetrics
A Python library for calculating and displaying the skill of model predictions against observations.
Software-Programming-for-Performance
Built a In-Memory Key-Value Storage Software in C++ using Red Black Trees as the core data structure
XV6_Operating_System
Tweaked Xv6,a simplified operating system developed at MIT by implementing new scheduling algorithms, system calls etc.