AnjolaOluwa Badaru
Machinelearning, SciKit, Python, Classifier, Dataset
Machine Learning Task-1

My First machine learning experience hasn't been all its promise. However I remain undeterred in my quest to come up with automated algorithms that make either forecasting, pulling data together for process actuation and machine intelligence seamlessly executed. At this task I have gotten a lot of help and direction from other interns. Got a chance to put @TopeA1 through the very first stages and giving him support where needed. It turns out he helped me hurdle through kinks in my code line up. It indeed is a worthy exercise teaching what one believes they have learned well. My abilities at: have definitely improved. It took me a while to get started with this task as I wanted to understand it accurately before proceeding. Eventually I realized the best way to get through with it is just START. Prior to starting, I knew I was to assemble data for classifications code sorting but remained clueless about how to write the codes. Quickly I read through the thread of conversations on slack and called @vahiwe when I realized time was ticking. Kraggle was a good resource for datasets and I realize there is almost no learning that Medium posts would not come-in valuable to. After saving my files into two folders and naming appropriately, I proceeded with writing my code accordingly: **Plate Number Classification** =============================== **Prepare the Data** ==================== ![](/storage/426/images/img-h8y59m63lw.png) ![](/storage/426/images/img-nf8ur7n67z.png) * Calling the aboce funstion and passing it the two image list * Setting the classes. 1 for Plate\_Numbers and 0 for Negative Images ![](/storage/426/images/img-5x7cfsjzlx.png) * A function for displaying images **Build Model** =============== * **Logistic Retrogression Model** * Here we import logitstic RegressionCV from sklearn. * Initialize the LRC * Fit our data into the model * Print the model accuracy on our training set ![](/storage/426/images/img-lboar4ksvx.png) * The function to show image prediction ![](/storage/426/images/img-gv90e5eoiq.png) * Since we don't have a test set, we predict our model on our training set. **KNN Classification** ====================== * From above score we can see that KNN performs poorly compared to Logistic Regression ![](/storage/426/images/img-efbqthpbso.png) ![](/storage/426/images/img-qv2yy4vzyz.png) **Radius Nearest Neighbor** =========================== ![](/storage/426/images/img-uy4ey5wuim.png)

AnjolaOluwa Badaru
The Art of learning something new

Somemay argue that learning new skills like graphics design, software development -in various languages, photography, parametric design and modelling are skill acquisition processes and even further to debunk the use of terms such as Art within the contexts of skill...

AnjolaOluwa Badaru
UAT 2

I am unable to confirm edits to my user name. I opened my account successfully using "with Google" option.

AnjolaOluwa Badaru
Lucid UAT

Good Interface is crisp and appealing Pages resolve easily Bad Wanted to delete a thought but couldn't find a button for that, thankfully the thought vanished, cannot find anymore though I did nothing...