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). …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
