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30_days_python_challenge

Includes coding challenges + mini projects in from beginner to advanced level

anomaly-detection-of-ecg-using-autoencoders

Detect Anomaly detection of ECG using AutoEncoders based on its reconstruction error.

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.

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.

drug-prescribe-system

drug_prescription_using_reviews

To build Prescription model, which help in Prescribing the best drug based on given conditions and sentiment of patients.

facebook-friend-recommendation

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.

how-to-generate-random-numbers-and-then-summing-them-to-1

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)

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.

logistic_regression_using_sklearn

machine-learning-online-2018

ML Online Course Repository. Course videos on online.codingblocks.com

movie-recommendation

mutliclass-text-classifier-using-tensorflow

nihar-max

nihar_jamdar.github.io

My Portfolio website

nlp_news_classification

News Classification dataset consist of News articles of class "world", "sports", "business", and "Science"

personalized_cancer_diagnosis

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.

sparks_foundation_internship

ted_talk_views_prediction

Task is to build predictive model, which help in predicting views of video uploaded on TEDX website.

tensorflow-deeplearning