Elvis Miranda

Elvis Miranda


Top 5 Machine Learning Projects for Beginners

, and second of all, study the data set in order to find out which machine learning algorithm class or type will fit best on the set of data.

Here are some tips from experts on how to get started:

  • Find a modestly sized data set which is relatively easy to analyze. Good places to search are the UCI ML Repository and Kaggle.
  • Experiment with the data set. To get a good “feeling” with the data set, you can run several top machine learning algorithms on the data to see how it behaves and what performance each algorithm achieves.
  • Pick the algorithm with the best performance and tune it accordingly.

Ok, now we are packed with a couple of general tips to get started on your ML project, let’s take a look at 10 interesting examples that will teach you how to use ML algorithms, tune them, but also how to analyze the given data.

1. Supervised Machine Learning w/ Iris Flowers Classification

The Iris Flowers dataset is seen as the “Hello World” of ML as it’s the classic example of classification. This dataset offers a great introduction as it requires you to learn how to explore data and how to load it. The benefit of this dataset is that is small to load into your memory (150 rows) and it has only four properties: Petal length, Petal width, Sepal length, and Sepal width.

Supervised Machine Learning w/ Iris Flowers Classification

The project involves the identification of four different species of Iris flowers using the four known properties. The dataset allows you to use a supervised learning algorithm as the data is labeled whereas unsupervised means that we are looking for hidden structures in the data as the data is unlabeled.

Classification Type? We are using Multiclass Classification here. This means that we should be able to predict accurately to which class a data point belongs.

Goal: Classify flowers among three species based on the properties of the flower: dimensions of petals and sepals.

Download: Iris Flowers Dataset
Full guide: To solving the problem can be found here.

2. Transactions Predictions w/ GNY

Machine Learning has been a trending topic for years now but many popular services are inaccessible for most developers primarily because of cost. A group called GNY is solving that with a decentralize their powerful machine learning platform that will be free to download and install. The machine learning platform is actually embedded within a blockchain so a user’s data is protected from potential hacks.

The team has released a demo that shows how this platform can predict groups of retail transactions through their powerful neural net, and a fully downloadable and customizable version of the platform is launching this Summer. GNY will have a library of selectable machine learning code sets that can be selected depending on the requirements of each individual and can be applied to their sidechain (as GNY will use Lisk’s sidechain technology).

Why is this so important? Almost all businesses are looking for an affordable way to unlock hidden value in their data, but not if it exposes them to security risks. The inherent structure of a blockchain helps to control data consistency and allow you to remain in control over your data

Performance increases as the validation can already be started for the subsequent block while the previous block is still active. Validation includes checking if the user has sufficient balance. Only for the wrongly predicted transactions, this work needs to be redone.

This demo is a fun starter project for people who want to predict simple numbers and the full platform launching this Summer should provide developers with much more power and customization. A good data set can be found at MLWave for predicting repeat buyers using purchase history.

Goal: Predict future transactions based on spending history.

3. Sentiment Analysis w/ Twitter

One interesting application of machine learning is sentiment analysis. Sentiment analysis has seen a major breakthrough with the rise of cryptocurrencies. Many have tried to build trading bots that incorporate sentiment analysis to make better trading decisions.

There are many other platforms that can be used for sentiment analysis like Reddit, Facebook, or LinkedIn as they all offer easy-to-use APIs for retrieving data. However, due to the consistent format of the data on the Twitter platform, this is the preferred data for machine learning. It is also much easier to pre-process as the tweets mainly consist of text, URLs, and hashtags.

The Twitter API knows many API libraries that can be used for integrating into your project. The wrapper for Python can be installed via pip with !pip install python-twitter . However, watch out when using the API as excessive usage can get you blacklisted. Therefore, Twitter provides guidelines on how to avoid being rate limited. If you require real-time data, the Twitter streaming API can save you.

A couple of fun examples to analyze:

  • Sentiment surrounding a newly released movie and compare it with reviews on IMDB and other rating websites.
  • Sentiment surrounding a particular election or any other trending political topic.
  • Predict the future direction of the price of a top 50 cryptocurrency based on the sentiments of its tweets.

Goal: A sentiment analyzer learns the various sentiments behind a piece of content. This task helps you think about designing various models to label a tweet as positive or negative. In a later phase, we can label tweets in a more nuanced way like ‘neutral’, ‘angry’, ‘optimistic’, …

Github Overview: of all Twitter-related data sets.

4. Recommender Systems w/ Movielens

Recommender systems are one of the most successful and widespread applications of machine learning technologies in business. You find recommender systems everywhere in your daily life. For example, when watching Youtube videos, the Youtube algorithm will propose you recommended videos based on your watching habits but also key insights they gained on watching patterns from running ML algorithms on the watching behavior of people all across the world.

We can find two types of algorithms for recommender systems:

  1. Content-based: As the label says, it looks for similarity in content.
  2. Collaborative filtering methods: This method looks for similarity in interactions. An example of an interaction can be looking at the ratings of a user and comparing them with others to find similar behavior/likings. The below picture illustrates this.

Currently, Movielens provides one of the most popular data sets for movie ratings which is an ideal dataset for beginners to experiment with.

Goal: Predict which movies users will like based on their ratings.

Website: Grouplens.org

Tutorial: Towardsdatascience provides a tutorial for building a simple Recommender System in Python.

5. Stock Price Predictions w/ Quandl

Stock prices predictor is a system that learns about the performance of a company and predicts future stock prices. The tricky thing with stock price predictions is that many types and sources of data can be used:

  • Volatility indices
  • Historical prices
  • Global macroeconomic indicators
  • Fundamental analysis
  • Technical analysis using indicators

The benefit of analyzing the stock market is that it has shorter feedback cycles which makes it easier to validate your predictions. If you don’t know market cycles, I suggest to read up about this topic to understand how a typical cycle looks like.

To start off easy, you can pick up a simple machine learning example where we predict the 6-month price movement based on fundamental indicators from an organization his quarterly report.

Goal: Predict future price using fundamental and technical indicators.

Download: Stock market datasets from Quandl.com or Quantoplan.com.

Further reading:

Machine Learning Guide: Learn Machine Learning Algorithms

Hands-On Machine Learning: Learn TensorFlow, Python, & Java!

Learn Azure Machine Learning from scratch

Master Machine Learning , Deep Learning with Python

Artificial Intelligence - TensorFlow Machine Learning

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Top 5 Machine Learning Projects for Beginners
sophia tondon

sophia tondon


5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

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Ray  Patel

Ray Patel


Top Machine Learning Projects in Python For Beginners [2021]

If you want to become a machine learning professional, you’d have to gain experience using its technologies. The best way to do so is by completing projects. That’s why in this article, we’re sharing multiple machine learning projects in Python so you can quickly start testing your skills and gain valuable experience.

However, before you begin, make sure that you’re familiar with machine learning and its algorithm. If you haven’t worked on a project before, don’t worry because we have also shared a detailed tutorial on one project:

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Top Machine Learning Projects in Python For Beginners [2021] | upGrad blog

If you want to become a machine learning professional, you’d have to gain experience using its technologies. The best way to do so is by completing projects. That’s why in this article, we’re sharing multiple machine learning projects in Python so you can quickly start testing your skills and gain valuable experience.

However, before you begin, make sure that you’re familiar with machine learning and its algorithm. If you haven’t worked on a project before, don’t worry because we have also shared a detailed tutorial on one project:

The Iris Dataset: For the Beginners

The Iris dataset is easily one of the most popular machine learning projects in Python. It is relatively small, but its simplicity and compact size make it perfect for beginners. If you haven’t worked on any machine learning projects in Python, you should start with it. The Iris dataset is a collection of flower sepal and petal sizes of the flower Iris. It has three classes, with 50 instances in every one of them.

We’ve provided sample code on various places, but you should only use it to understand how it works. Implementing the code without understanding it would fail the premise of doing the project. So be sure to understand the code well before implementing it.

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Autumn  Blick

Autumn Blick


Top Android Projects with Source Code

Android Projects with Source Code – Your entry pass into the world of Android

Hello Everyone, welcome to this article, which is going to be really important to all those who’re in dilemma for their projects and the project submissions. This article is also going to help you if you’re an enthusiast looking forward to explore and enhance your Android skills. The reason is that we’re here to provide you the best ideas of Android Project with source code that you can choose as per your choice.

These project ideas are simple suggestions to help you deal with the difficulty of choosing the correct projects. In this article, we’ll see the project ideas from beginners level and later we’ll move on to intermediate to advance.

top android projects with source code

Android Projects with Source Code

Before working on real-time projects, it is recommended to create a sample hello world project in android studio and get a flavor of project creation as well as execution: Create your first android project

Android Projects for beginners

1. Calculator

build a simple calculator app in android studio source code

Android Project: A calculator will be an easy application if you have just learned Android and coding for Java. This Application will simply take the input values and the operation to be performed from the users. After taking the input it’ll return the results to them on the screen. This is a really easy application and doesn’t need use of any particular package.

To make a calculator you’d need Android IDE, Kotlin/Java for coding, and for layout of your application, you’d need XML or JSON. For this, coding would be the same as that in any language, but in the form of an application. Not to forget creating a calculator initially will increase your logical thinking.

Once the user installs the calculator, they’re ready to use it even without the internet. They’ll enter the values, and the application will show them the value after performing the given operations on the entered operands.

Source Code: Simple Calculator Project

2. A Reminder App

Android Project: This is a good project for beginners. A Reminder App can help you set reminders for different events that you have throughout the day. It’ll help you stay updated with all your tasks for the day. It can be useful for all those who are not so good at organizing their plans and forget easily. This would be a simple application just whose task would be just to remind you of something at a particular time.

To make a Reminder App you need to code in Kotlin/Java and design the layout using XML or JSON. For the functionality of the app, you’d need to make use of AlarmManager Class and Notifications in Android.

In this, the user would be able to set reminders and time in the application. Users can schedule reminders that would remind them to drink water again and again throughout the day. Or to remind them of their medications.

3. Quiz Application

Android Project: Another beginner’s level project Idea can be a Quiz Application in android. Here you can provide the users with Quiz on various general knowledge topics. These practices will ensure that you’re able to set the layouts properly and slowly increase your pace of learning the Android application development. In this you’ll learn to use various Layout components at the same time understanding them better.

To make a quiz application you’ll need to code in Java and set layouts using xml or java whichever you prefer. You can also use JSON for the layouts whichever preferable.

In the app, questions would be asked and answers would be shown as multiple choices. The user selects the answer and gets shown on the screen if the answers are correct. In the end the final marks would be shown to the users.

4. Simple Tic-Tac-Toe

android project tic tac toe game app

Android Project: Tic-Tac-Toe is a nice game, I guess most of you all are well aware of it. This will be a game for two players. In this android game, users would be putting X and O in the given 9 parts of a box one by one. The first player to arrange X or O in an adjacent line of three wins.

To build this game, you’d need Java and XML for Android Studio. And simply apply the logic on that. This game will have a set of three matches. So, it’ll also have a scoreboard. This scoreboard will show the final result at the end of one complete set.

Upon entering the game they’ll enter their names. And that’s when the game begins. They’ll touch one of the empty boxes present there and get their turn one by one. At the end of the game, there would be a winner declared.

Source Code: Tic Tac Toe Game Project

5. Stopwatch

Android Project: A stopwatch is another simple android project idea that will work the same as a normal handheld timepiece that measures the time elapsed between its activation and deactivation. This application will have three buttons that are: start, stop, and hold.

This application would need to use Java and XML. For this application, we need to set the timer properly as it is initially set to milliseconds, and that should be converted to minutes and then hours properly. The users can use this application and all they’d need to do is, start the stopwatch and then stop it when they are done. They can also pause the timer and continue it again when they like.

6. To Do App

Android Project: This is another very simple project idea for you as a beginner. This application as the name suggests will be a To-Do list holding app. It’ll store the users schedules and their upcoming meetings or events. In this application, users will be enabled to write their important notes as well. To make it safe, provide a login page before the user can access it.

So, this app will have a login page, sign-up page, logout system, and the area to write their tasks, events, or important notes. You can build it in android studio using Java and XML at ease. Using XML you can build the user interface as user-friendly as you can. And to store the users’ data, you can use SQLite enabling the users to even delete the data permanently.

Now for users, they will sign up and get access to the write section. Here the users can note down the things and store them permanently. Users can also alter the data or delete them. Finally, they can logout and also, login again and again whenever they like.

7. Roman to decimal converter

Android Project: This app is aimed at the conversion of Roman numbers to their significant decimal number. It’ll help to check the meaning of the roman numbers. Moreover, it will be easy to develop and will help you get your hands on coding and Android.

You need to use Android Studio, Java for coding and XML for interface. The application will take input from the users and convert them to decimal. Once it converts the Roman no. into decimal, it will show the results on the screen.

The users are supposed to just enter the Roman Number and they’ll get the decimal values on the screen. This can be a good android project for final year students.

8. Virtual Dice Roller

Android Project: Well, coming to this part that is Virtual Dice or a random no. generator. It is another simple but interesting app for computer science students. The only task that it would need to do would be to generate a number randomly. This can help people who’re often confused between two or more things.

Using a simple random number generator you can actually create something as good as this. All you’d need to do is get you hands-on OnClick listeners. And a good layout would be cherry on the cake.

The user’s task would be to set the range of the numbers and then click on the roll button. And the app will show them a randomly generated number. Isn’t it interesting ? Try soon!

9. A Scientific Calculator App

Android Project: This application is very important for you as a beginner as it will let you use your logical thinking and improve your programming skills. This is a scientific calculator that will help the users to do various calculations at ease.

To make this application you’d need to use Android Studio. Here you’d need to use arithmetic logics for the calculations. The user would need to give input to the application that will be in terms of numbers. After that, the user will give the operator as an input. Then the Application will calculate and generate the result on the user screen.

10. SMS App

Android Project: An SMS app is another easy but effective idea. It will let you send the SMS to various no. just in the same way as you use the default messaging application in your phone. This project will help you with better understanding of SMSManager in Android.

For this application, you would need to implement Java class SMSManager in Android. For the Layout you can use XML or JSON. Implementing SMSManager into the app is an easy task, so you would love this.

The user would be provided with the facility to text to whichever number they wish also, they’d be able to choose the numbers from the contact list. Another thing would be the Textbox, where they’ll enter their message. Once the message is entered they can happily click on the send button.

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Ajay Kapoor


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