Nihar Jamdar's repositories
Anomaly-Detection-of-ECG-using-AutoEncoders
Detect Anomaly detection of ECG using AutoEncoders based on its reconstruction error.
nlp_news_classification
News Classification dataset consist of News articles of class "world", "sports", "business", and "Science"
bitcoin-price-prediction
Task is to understand if there if our data follows and trend or seasonality so we can further predict the bitcoin price ranges accordingly.
drug_prescription_using_reviews
To build Prescription model, which help in Prescribing the best drug based on given conditions and sentiment of patients.
leanding_loan_club_defaulters_prediction
LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California.LendingClub is the world's largest peer-to-peer lending platform to offer loan trading on a secondary market.Task is to build classification model, which help in predicting wheatear the person belongs to default category or not.
ted_talk_views_prediction
Task is to build predictive model, which help in predicting views of video uploaded on TEDX website.
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
30_days_python_challenge
Includes coding challenges + mini projects in from beginner to advanced level
caesar_cipher_python
It is one of the simplest and most widely known encryption techniques. For example, with a left shift of 3, D would be replaced by A, E would become B, and so on.
hangman
Hangman is a paper and pencil guessing game for two or more players. One player thinks of a word, phrase or sentence and the other(s) tries to guess it by suggesting letters within a certain number of guesses. In this given project we created a list in which consists of all the popular Hollywood actors and our task is to guess that actor name letter by letter, where we have only 6 chances. So our task is to create this game with help of simple python programming with help of Loops, List etc. etc.
image_classification_male_female
From the given images classify whether the image is male / female using Convolutional Neural Network
ipl_first_innings_Score_prediction
We have to determine the live first innings Score / projected score based on input features such as (overs bowled till now, runs, wickets, runs in previous 5 overs, wickets in previous 5 overs) and also based on their previous Stats / records/ performance throughout the IPL (i.e. 2008 - 2017)
ipl_first_innings_Score_prediction_ipynb
We have to determine the live first innings Score / projected score based on input features such as (overs bowled till now, runs, wickets, runs in previous 5 overs, wickets in previous 5 overs) and also based on their previous Stats / records/ performance throughout the IPL (i.e. 2008 - 2017)
nihar_jamdar.github.io
My Portfolio website
Pizza-Sales-Analysis-Using-SQL-Server
The Pizza Sales Project is a data analysis and visualization initiative focused on examining sales data from a fictional pizza restaurant chain. Leveraging SQL for data extraction and transformation, the project aims to provide actionable insights to optimize operations, enhance sales, and improve customer satisfaction.
Pizza-Sales-Project-SQL-PowerBI
Pizza Sales Report Project using SQL and Power BI
quora_question_pair_similarity
Identify the Question asked on Quora is Duplicate of Questions which are already asked.
restaurant_reviews_sentiment_analysis
Given a review by a Customer we have to determine whether it belongs to Positive review or Negative review. Eg:1 i.e. Review 1: Wow this place really gives me good vibe as well as the fish cury is also Awesome as always. Ans: Positive Review. Eg:2 i.e. Review 2 This Dish is not at all tasty as well as waitress was a little slow in service. Ans: Negative Review. So our main Task is to predict wheatear the given review is positive or negative i.e. Binary Classification.
Walmart-Sales-Data-Analysis-With-SQL
This project aims to explore the Walmart Sales data to understand top performing branches and products, sales trend of of different products, customer behaviour. The aims is to study how sales strategies can be improved and optimized. The dataset was obtained from the Kaggle Walmart Sales Forecasting Competition.