All Projects → Abhishekmamidi123 → ZS-Data-Science-Challenge

Abhishekmamidi123 / ZS-Data-Science-Challenge

Licence: other
A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to ZS-Data-Science-Challenge

Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (+28.57%)
Mutual labels:  machine-learning-algorithms, predictive-modeling
Machine Learning Deployment
Launch machine learning models into production using flask, docker etc.
Stars: ✭ 177 (+742.86%)
Mutual labels:  machine-learning-algorithms, predictive-modeling
Machine-Learning
A repo to explain algorithm in machine learning with CHINESE
Stars: ✭ 24 (+14.29%)
Mutual labels:  machine-learning-algorithms
Python
this resporatory have ml,ai,nlp,data science etc.python language related material from many websites eg. datacamp,geeksforgeeks,linkedin,youtube,udemy etc. also it include programming challange/competion solutions
Stars: ✭ 43 (+104.76%)
Mutual labels:  hackerearth
100DaysCodingChallenege
This is 100 days of competitive coding challenege . You have details of all the problem and solution that I will be solving daily for 100 days consecutively . I have added link to all the questions in read me according to days , you can try solving on your own before watching solution .
Stars: ✭ 29 (+38.1%)
Mutual labels:  hackerearth
SWBlog
machine learning practitioner, android and python
Stars: ✭ 33 (+57.14%)
Mutual labels:  machine-learning-algorithms
PyImpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Stars: ✭ 83 (+295.24%)
Mutual labels:  machine-learning-algorithms
Python-TensorFlow-WebApp
Emerging Technologies Project - 4th Year 2017
Stars: ✭ 16 (-23.81%)
Mutual labels:  machine-learning-algorithms
adventures-with-ann
All the code for a series of Medium articles on Approximate Nearest Neighbors
Stars: ✭ 40 (+90.48%)
Mutual labels:  machine-learning-algorithms
COVID19
Using Kalman Filter to Predict Corona Virus Spread
Stars: ✭ 78 (+271.43%)
Mutual labels:  machine-learning-algorithms
Customer segmentation
Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
Stars: ✭ 80 (+280.95%)
Mutual labels:  machine-learning-algorithms
genieclust
Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
Stars: ✭ 34 (+61.9%)
Mutual labels:  machine-learning-algorithms
DA Tutorial
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
Stars: ✭ 23 (+9.52%)
Mutual labels:  machine-learning-algorithms
OpencvInstallation
shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.
Stars: ✭ 16 (-23.81%)
Mutual labels:  machine-learning-algorithms
neptune-examples
Examples of using Neptune to keep track of your experiments (maintenance only).
Stars: ✭ 22 (+4.76%)
Mutual labels:  machine-learning-algorithms
glossary
https://machinelearning.wtf/ - An online glossary of machine learning terms.
Stars: ✭ 28 (+33.33%)
Mutual labels:  machine-learning-algorithms
genie
Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
Stars: ✭ 21 (+0%)
Mutual labels:  machine-learning-algorithms
pycorels
Public home of pycorels, the python binding to CORELS
Stars: ✭ 51 (+142.86%)
Mutual labels:  machine-learning-algorithms
FB-Ads-Opt-UCB
The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻
Stars: ✭ 23 (+9.52%)
Mutual labels:  machine-learning-algorithms
fireTS
A python multi-variate time series prediction library working with sklearn
Stars: ✭ 62 (+195.24%)
Mutual labels:  predictive-modeling

ZS_Data_Science_Challenge

  • This is the challenge organised by Hacker earth.

This problem involves:

  • Handle data to pre-process and generate relevant features and insights for modeling.
  • Knowledge of machine learning/statistics.
  • Identifying the right technique to approach the solution.
  • Different techniques to improve the accuracy.

Challenge Time:

  • 65 hours

Rank:

  • 223 out of 4743 participants

Language:

  • Python

Files:

  • Mekktronix_Sales_Forecasting Notebook - Contains the implementation of different algorithms that were applied on the preprocessed data.
  • Arima algorithm - Contains the implementation of Arima on the preprocessed data.
  • Presenattion - Contains the approach towards the problem and the details of the challenge.
  • Approach Rmd file - Approach file(Rmd version of Presentation).
  • SMAPE file - This file contains the SMAPE score on train data for different algorithms.
  • Predicted file - This csv file contains the predictions that were predicted on test file.(The values are achieved using xgboost algorithm)

Developer:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].