Published in Python in Plain English·2 days agoMember-onlyHow to Answer Specific Questions in an Exploratory Data Analysis Using Kaggle’s Automobile DatasetI spent a couple of days watching a video on machine learning and the content was certainly not what I thought it would be. The first half of the course covered exploratory data analysis (EDA). In order to carry out an EDA, it is first necessary to have an understanding…Python Programming6 min read
Published in Python in Plain English·4 days agoMember-onlyPerform an Exploratory Data Analysis on a Driver’s Recorded TripsPerhaps one of the first things that need to be carried out is an exploratory data analysis (EDA). I have decided to perform one on an Uber driver’s trip record. The EDA was performed on Google Colab, which is an online Jupyter Notebook hosted by Google. This is a great…Exploratory Data Analysis5 min read
Aug 5Member-onlyTheoretical aspects of Natural Language programmingIn a recent blog post I discussed the theoretical aspects of time series analysis, which can be found here:- https://tracyrenee61.medium.com/musings-of-a-time-series-analyst-forecaster-3146c2ed41cd I thought that since I have undertaken a bit of work making predictions on text data, perhaps it would be a good idea to make a blog post on natural…Naturallanguageprocessing18 min read
Aug 3Member-onlyMusings of a time series analyst/forecasterI have just recently completed a time series course in Python and realise this is such an in depth topic that there are so many theoretical concepts that I could add to the content. …Time Series Forecasting13 min read
Published in Python in Plain English·Aug 2Member-onlyDoes the ARIMA model outperform Exponential Smoothing Models?In my last post I discussed how data science, specifically time series analysis and forecasting in that regard, can be used to determine if global warming is a genuine phenomenon. I resampled and analysed the time series and then trained and fitted the adjusted time series data into the ARIMA…Arima5 min read
Published in Python in Plain English·Aug 2Member-onlyLet time series analysis predict whether climate change is realDuring the past couple of weeks I have been working on a time series analysis/forecasting course. Part of the course was to go through a Jupyter Notebook that had a dataset containing the temperatures for Melbourne, Australia. Whilst reviewing the code, I thought it would be a great idea to…Time Series Analysis5 min read
Published in MLearning.ai·Aug 1Member-onlyHow I got on the leaderboard of Kaggle’s August 2022 tabular competitionIt’s that time again. I always look forward to the first of every month so I can participate in Kaggle’s monthly tabular competition. The August 2022 tabular competition is a classification problem and the problem statement is in the screenshot below:-Kaggle4 min read
Published in Python in Plain English·Aug 1Member-onlyAIC vs RMSE When Gridsearching SARIMAX HyperparemetersSARIMEX is a seasonal time series forecasting in Python’s statistical and time series library, statsmodels. SARIMEX is a modification of the more well known method, ARIMA and is essentially ARIMA with a seasonal component added to it. SARIMEX is an acronym for Seasonal Auto Regressive Moving Average with exogenous regressors…Sarimex7 min read
Published in Python in Plain English·Jul 28Member-onlyStatsmodels’ ARIMA incorporates differencing within the methodIn my most previous post I stated that it would be my last post on time series forecasting for a while, but I could not resist the temptation to conduct an experiment on statsmodels’ ARIMA model. The ARIMA model is a class of statistical for analysing and forecasting time series…Arima5 min read
Published in Python in Plain English·Jul 28Member-onlyTurn a multivariate time series dataset into univariate by dropping columnsThe reader may have noticed that in the past several blog posts I have written have been devoted to time series analysis and forecasting. The reason for this is because I have been preparing to embark upon a project that relates to time series forecasting. …Arima7 min read
