Alternatives and similar repositories for The_Researchers_Guide:

Users that are interested in The_Researchers_Guide are comparing it to the libraries listed below

• Emon-ProCoder7 / sql-Command-Repository
  Some of my sql projects with sqlite.
  ☆10Updated 3 years ago
• YuehHanChen / Telco_Customer_Churn_Analysis
  Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…
  ☆10Updated 4 years ago
• bhattbhavesh91 / linear-regression-assumptions
  A small repository explaining how you can validate your linear regression model based on assumptions
  ☆13Updated 3 years ago
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆53Updated 2 years ago
• ashish-kamboj / Data-Science
  EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series A…
  ☆20Updated 2 years ago
• 17rsuraj / data-curious
  This repository includes my project, done during a Data Science Internship
  ☆43Updated last year
• chongjason914 / pandas-tutorial
  Beginner's introduction to the pandas library for data manipulation
  ☆26Updated 3 years ago
• samirsaci / graph-theory
  Graph theory to optimize the road transportation network of a retail company
  ☆20Updated 2 months ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• rashida048 / Some-NLP-Projects
  ☆14Updated 3 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 3 years ago
• mkosaka1 / AirPassengers_TimeSeries
  Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.
  ☆10Updated 4 years ago
• kevinclee26 / sentiment_analysis_classification
  ☆18Updated 3 years ago
• ashishpatel26 / Docker-For-Python-Machine-learning
  Docker For Python Machine learning
  ☆11Updated 2 years ago
• abbey2017 / solar-energy-analytics
  A set of data-driven solutions for solar energy challenges.
  ☆13Updated 3 years ago
• evansdoe / online_retail
  The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.
  ☆19Updated 3 years ago
• saizhang1 / Analytic-Projects-in-Python-EDA
  There are several exploratory data analysis (EDA) analyzes in this file. More data analytics and business approached than machine learnin…
  ☆44Updated 4 years ago
• econcarol / ISLR
  R and Python solutions to applied exercises in An Introduction to Statistical Learning with Applications in R (corrected 7th ed)
  ☆15Updated 5 years ago
• ashishpatel26 / MLFlow-End-to-End-Workshop-at-Chandigarh-University
  MLFlow End to End Workshop at Chandigarh University
  ☆11Updated 2 years ago
• viveknest / statascratch-solutions
  ☆13Updated 2 years ago
• katewall / medium_tutorials
  ☆14Updated 3 years ago
• susanli2016 / Practical-Data-Science-Specialization
  Coursera Course
  ☆13Updated 3 years ago
• IDB-FOR-DATASCIENCE / Predictive-Excellence-Engine
  In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models an…
  ☆14Updated 3 years ago
• ElizaLo / Time-Series
  Awesome list and projects of Time Series
  ☆28Updated last year
• samirsaci / production-planning
  Production Fixed Horizon Planning with Python
  ☆29Updated 2 months ago
• henokyemam / Wrangling_PySpark
  ☆12Updated 4 years ago
• YuehHanChen / Marketing_Analytics
  Using Python to conduct EDA, perform statistical analysis, visualize insights, and present data-driven solutions to Chief Marketing Offic…
  ☆16Updated 3 years ago
• FerasBasha / Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning
  Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…
  ☆46Updated 4 years ago
• rashida048 / Few-Machine-Learning-projects
  These projects use pandas, matplotlib, numpy, scipy and scikitlearn
  ☆10Updated 2 years ago
• vishnukanduri / Credit-Risk-Modeling-in-Python
  Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discre…
  ☆88Updated 5 years ago