My_First_Website_for_Students___40_2023__41_.pdf
9.6 MB
My First Website for Students
Shirish Chavan, 2023
Shirish Chavan, 2023
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MUST ADD these 5 POWER Bl projects to your resume to get hired
Here are 5 mini projects that not only help you to gain experience but also it will help you to build your resume stronger
šCustomer Churn Analysis
š https://www.kaggle.com/code/fabiendaniel/customer-segmentation/input
šCredit Card Fraud
š https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
šMovie Sales Analysis
šhttps://www.kaggle.com/datasets/PromptCloudHQ/imdb-data
šAirline Sector
šhttps://www.kaggle.com/datasets/yuanyuwendymu/airline-
šFinancial Data Analysis
šhttps://www.kaggle.com/datasets/qks1%7Cver/financial-data-
Simple guide
1. Data Utilization:
- Initiate the process by using the provided datasets for a comprehensive analysis.
2. Domain Research:
- Conduct thorough research within the domain to identify crucial metrics and KPIs for analysis.
3. Dashboard Blueprint:
- Outline the structure and aesthetics of your dashboard, drawing inspiration from existing online dashboards for enhanced design and functionality.
4. Data Handling:
- Import data meticulously, ensuring accuracy. Proceed with cleaning, modeling, and the creation of essential measures and calculations.
5. Question Formulation:
- Brainstorm a list of insightful questions your dashboard aims to answer, covering trends, comparisons, aggregations, and correlations within the data.
6. Platform Integration:
- Utilize Novypro.com as the hosting platform for your dashboard, ensuring seamless integration and accessibility.
7. LinkedIn Visibility:
- Share your dashboard on LinkedIn with a concise post providing context. Include a link to your Novypro-hosted dashboard to foster engagement and professional connections.
Join for more: https://t.iss.one/DataPortfolio
Hope this helps you :)
Here are 5 mini projects that not only help you to gain experience but also it will help you to build your resume stronger
šCustomer Churn Analysis
š https://www.kaggle.com/code/fabiendaniel/customer-segmentation/input
šCredit Card Fraud
š https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
šMovie Sales Analysis
šhttps://www.kaggle.com/datasets/PromptCloudHQ/imdb-data
šAirline Sector
šhttps://www.kaggle.com/datasets/yuanyuwendymu/airline-
šFinancial Data Analysis
šhttps://www.kaggle.com/datasets/qks1%7Cver/financial-data-
Simple guide
1. Data Utilization:
- Initiate the process by using the provided datasets for a comprehensive analysis.
2. Domain Research:
- Conduct thorough research within the domain to identify crucial metrics and KPIs for analysis.
3. Dashboard Blueprint:
- Outline the structure and aesthetics of your dashboard, drawing inspiration from existing online dashboards for enhanced design and functionality.
4. Data Handling:
- Import data meticulously, ensuring accuracy. Proceed with cleaning, modeling, and the creation of essential measures and calculations.
5. Question Formulation:
- Brainstorm a list of insightful questions your dashboard aims to answer, covering trends, comparisons, aggregations, and correlations within the data.
6. Platform Integration:
- Utilize Novypro.com as the hosting platform for your dashboard, ensuring seamless integration and accessibility.
7. LinkedIn Visibility:
- Share your dashboard on LinkedIn with a concise post providing context. Include a link to your Novypro-hosted dashboard to foster engagement and professional connections.
Join for more: https://t.iss.one/DataPortfolio
Hope this helps you :)
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Top 16 Java Projects
1. Airline Reservation System:
- https://lnkd.in/dRFK2vPh
2. Data Visualization Software:
- https://lnkd.in/dVWVU8xn
3. Electricity Billing System:
- https://lnkd.in/dekycNXQ
4. E-Healthcare Management System:
- https://lnkd.in/dEkE2raN
5. Email Client Software:
- https://lnkd.in/d_qz7U9E
6. Library Management System:
- https://lnkd.in/dY7bDjFn
7. Network Packet Sniffer:
- https://lnkd.in/dXPtyzz4
8. Online Bank Management System:
- https://lnkd.in/d4Qzy8fN
9. Online Medical Management System:
- https://lnkd.in/dHciHGGz
10. Java Programming with projects
- t.iss.one/Programming_experts/528
11. Online Survey System:
- https://lnkd.in/dw9Cmhix
12. RSS Feed Reader:
- https://lnkd.in/dupDQPnG
13. Smart City Project:
- https://lnkd.in/d3YT36aJ
14. Stock Management System:
- https://lnkd.in/dTb3hikj
15. Supply Chain Management System:
- https://lnkd.in/dAzJthMQ
16. Virtual Private Network:
- https://lnkd.in/dyEcgrFC
Free Resources to learn Java
šš
https://t.iss.one/Java_Programming_Notes
Like this post & share our channel with your loved ones: https://t.iss.one/Programming_experts
ENJOY LEARNING šš
1. Airline Reservation System:
- https://lnkd.in/dRFK2vPh
2. Data Visualization Software:
- https://lnkd.in/dVWVU8xn
3. Electricity Billing System:
- https://lnkd.in/dekycNXQ
4. E-Healthcare Management System:
- https://lnkd.in/dEkE2raN
5. Email Client Software:
- https://lnkd.in/d_qz7U9E
6. Library Management System:
- https://lnkd.in/dY7bDjFn
7. Network Packet Sniffer:
- https://lnkd.in/dXPtyzz4
8. Online Bank Management System:
- https://lnkd.in/d4Qzy8fN
9. Online Medical Management System:
- https://lnkd.in/dHciHGGz
10. Java Programming with projects
- t.iss.one/Programming_experts/528
11. Online Survey System:
- https://lnkd.in/dw9Cmhix
12. RSS Feed Reader:
- https://lnkd.in/dupDQPnG
13. Smart City Project:
- https://lnkd.in/d3YT36aJ
14. Stock Management System:
- https://lnkd.in/dTb3hikj
15. Supply Chain Management System:
- https://lnkd.in/dAzJthMQ
16. Virtual Private Network:
- https://lnkd.in/dyEcgrFC
Free Resources to learn Java
šš
https://t.iss.one/Java_Programming_Notes
Like this post & share our channel with your loved ones: https://t.iss.one/Programming_experts
ENJOY LEARNING šš
š31ā¤7š„1š1
LEGEND Form Project š
š
-----------------------------------------------------
Complete Source Code š
-----------------------------------------------------
<html>
<head>
<style>
.outer{
margin:auto;
height:300px;
width:400px;
border:2px solid black;
position:relative
}
p{
margin-left:80px;
}
.in{
margin-left:80px;
padding:10px
}
#bt{
margin-top:20px;
position:absolute;
left:150px;
}
#bt:hover{
background:green;
font-size:13px;
cursor:pointer;
color:white;
}
</style>
<script>
function fa(){
if(a.value=="" || b.value==""){
f()
document.getElementById("a").style.border="3px solid red"
document.getElementById("b").style.border="3px solid red"
bt.value="Pahila data tak"
}
else{
document.getElementById("a").style.border="3px solid green"
document.getElementById("b").style.border="3px solid green"
bt.value="Ha thik ahe ata"
bt.style.left="120px";
}
}
flag=1
function f(){
if(flag==1){
bt.style.left="210px"
flag=2
}
else if(flag==2){
bt.style.left="80px"
flag=1
}
}
</script>
</head>
<body>
<div class="outer">
<h1 style="text-align:center">Legend form</h1>
<p>Enter Id</p>
<input class="in" type="text" placeholder="Enter id" id="a"/>
<p>Enter Confirm Pass</p>
<input class="in" type="password" placeholder="Enter password" id="b"/>
<br>
<input type="submit" onmouseenter="fa()" onclick="alert('waaaa')" id="bt" />
</div>
</body>
</html>
Join for more: https://t.iss.one/webdevcoursefree
-----------------------------------------------------
Complete Source Code š
-----------------------------------------------------
<html>
<head>
<style>
.outer{
margin:auto;
height:300px;
width:400px;
border:2px solid black;
position:relative
}
p{
margin-left:80px;
}
.in{
margin-left:80px;
padding:10px
}
#bt{
margin-top:20px;
position:absolute;
left:150px;
}
#bt:hover{
background:green;
font-size:13px;
cursor:pointer;
color:white;
}
</style>
<script>
function fa(){
if(a.value=="" || b.value==""){
f()
document.getElementById("a").style.border="3px solid red"
document.getElementById("b").style.border="3px solid red"
bt.value="Pahila data tak"
}
else{
document.getElementById("a").style.border="3px solid green"
document.getElementById("b").style.border="3px solid green"
bt.value="Ha thik ahe ata"
bt.style.left="120px";
}
}
flag=1
function f(){
if(flag==1){
bt.style.left="210px"
flag=2
}
else if(flag==2){
bt.style.left="80px"
flag=1
}
}
</script>
</head>
<body>
<div class="outer">
<h1 style="text-align:center">Legend form</h1>
<p>Enter Id</p>
<input class="in" type="text" placeholder="Enter id" id="a"/>
<p>Enter Confirm Pass</p>
<input class="in" type="password" placeholder="Enter password" id="b"/>
<br>
<input type="submit" onmouseenter="fa()" onclick="alert('waaaa')" id="bt" />
</div>
</body>
</html>
Join for more: https://t.iss.one/webdevcoursefree
š24ā¤7š1
Top 5 data science projects for freshers
1. Predictive Analytics on a Dataset:
- Use a dataset to predict future trends or outcomes using machine learning algorithms. This could involve predicting sales, stock prices, or any other relevant domain.
2. Customer Segmentation:
- Analyze and segment customers based on their behavior, preferences, or demographics. This project could provide insights for targeted marketing strategies.
3. Sentiment Analysis on Social Media Data:
- Analyze sentiment in social media data to understand public opinion on a particular topic. This project helps in mastering natural language processing (NLP) techniques.
4. Recommendation System:
- Build a recommendation system, perhaps for movies, music, or products, using collaborative filtering or content-based filtering methods.
5. Fraud Detection:
- Develop a fraud detection system using machine learning algorithms to identify anomalous patterns in financial transactions or any domain where fraud detection is crucial.
Free Datsets -> https://t.iss.one/DataPortfolio/2?single
These projects showcase practical application of data science skills and can be highlighted on a resume for entry-level positions.
Join @pythonspecialist for more data science projects
1. Predictive Analytics on a Dataset:
- Use a dataset to predict future trends or outcomes using machine learning algorithms. This could involve predicting sales, stock prices, or any other relevant domain.
2. Customer Segmentation:
- Analyze and segment customers based on their behavior, preferences, or demographics. This project could provide insights for targeted marketing strategies.
3. Sentiment Analysis on Social Media Data:
- Analyze sentiment in social media data to understand public opinion on a particular topic. This project helps in mastering natural language processing (NLP) techniques.
4. Recommendation System:
- Build a recommendation system, perhaps for movies, music, or products, using collaborative filtering or content-based filtering methods.
5. Fraud Detection:
- Develop a fraud detection system using machine learning algorithms to identify anomalous patterns in financial transactions or any domain where fraud detection is crucial.
Free Datsets -> https://t.iss.one/DataPortfolio/2?single
These projects showcase practical application of data science skills and can be highlighted on a resume for entry-level positions.
Join @pythonspecialist for more data science projects
š14ā¤1
Modern_Tkinter_for_Busy_Python_Developers_Quickly_learn_to_create.pdf
2.1 MB
Modern Tkinter for Busy Python Developers
Quickly learn to create great looking user interfaces for Windows, Mac and Linux using Python's standard GUI toolkit
Quickly learn to create great looking user interfaces for Windows, Mac and Linux using Python's standard GUI toolkit
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Here's the sample answer to "Tell me about yourself?" according to the most common job rolesšš
Frontend Developer-
Backend Developer-
Full-Stack Developer -
I hope you will find this helpful šā¤ļø
Frontend Developer-
Hi Iām [Your Name] and I'm a passionate front-end developer with [X years] of experience building user-friendly web interfaces. I'm proficient in HTML, CSS, and JavaScript, and I have a strong understanding of frameworks like React. I prioritize crafting clean, responsive code that delivers a seamless user experience.Backend Developer-
Hi Iām [Your Name] and I'm a skilled backend developer with a strong foundation in [mention your primary languages]. I possess expertise in server-side development, database management using SQL, and experience with frameworks like [mention relevant frameworks]. I enjoy tackling complex challenges and building robust, scalable back-end systems.Full-Stack Developer -
Hi Iām [Your Name] and I'm a passionate full-stack developer with [X years] of experience building web applications. I'm proficient in both front-end technologies like HTML, CSS, and JavaScript frameworks like [mention relevant ones]. I also have a strong understanding of back-end development using [mention languages like Python, Java] and frameworks like [mention relevant ones]. I enjoy tackling complex challenges and delivering user-centric solutions throughout the development cycle.
I hope you will find this helpful šā¤ļø
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List of most asked Programming Interview Questions.
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
You can check these resources for Coding interview Preparation
All the best šš
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
You can check these resources for Coding interview Preparation
All the best šš
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