teleren/devto huggingface dataset:
Machine learning Training In Dehradun
Tags: machinelearning, machinlearningtraining
Published: 2024-06-13 12:13:26

Welcome to Vervegen Edtech Pvt Ltd, where the serene beauty of Dehradun meets the cutting-edge world of machine learning. Our [Machine Learning Training program ](https://vervegenedtech.com/machine-learning-training-in-dehradun)is designed to transform enthusiasts into skilled professionals, ready to innovate and lead in the tech-driven landscape.

Course Overview
Nestled in the lush valleys of Dehradun, our training program offers a comprehensive and immersive learning experience. The curriculum is crafted to cater to both beginners and those with prior knowledge of programming and statistics. Through hands-on projects, real-world case studies, and expert guidance, students will gain a deep understanding of machine learning concepts and applications.

Course Content
Module 1: Introduction to Machine Learning
What is Machine Learning?
Understanding the basics and importance of machine learning.
History and Evolution
The journey from early developments to modern advancements.
Types of Machine Learning
Supervised, Unsupervised, and Reinforcement Learning.
Module 2: Python for Machine Learning
Python Basics
Syntax, variables, data types, and basic operations.
Libraries for Machine Learning
Introduction to NumPy, Pandas, Matplotlib, and Scikit-learn.
Module 3: Data Preprocessing
Data Cleaning
Handling missing values, duplicates, and outliers.
Feature Engineering
Transforming raw data into meaningful features.
Data Normalization and Standardization
Techniques to scale data for better performance.
Module 4: Supervised Learning
Regression Analysis
Linear and logistic regression.
Classification Algorithms
Decision Trees, Random Forests, Support Vector Machines, and K-Nearest Neighbors.
Model Evaluation
Metrics such as accuracy, precision, recall, and F1 score.
Module 5: Unsupervised Learning
Clustering Techniques
K-means, Hierarchical clustering, and DBSCAN.
Dimensionality Reduction
Principal Component Analysis (PCA) and t-SNE.
Top Trends Computer Science concepts with explanations in 256 characters
Tags: devchallenge, cschallenge, computerscience, beginners
Published: 2024-06-13 12:10:25

_This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer._

## Explainer
**Algorithm (104 chars):** A step-by-step procedure to solve a problem or perform a task. Examples: sorting, searching, encryption.

## Additional Context
Top Best computer science concepts with explanations in 256 characters or less:

**Data Structures (203 chars):** Like boxes for your data! Organize information for easy access and manipulation. Arrays, lists, trees keep things tidy.

**Variables (184 chars):** Named storage for data. Can change like a light switch.  Hold numbers, text, or even other boxes (data structures)!

**Loops (182 chars):** Repeat a set of instructions! Like following a recipe step multiple times. Useful for repetitive tasks in programs.

**Conditionals (189 chars):** Make choices!  If this happens, do that.  Branch your program based on data. Keeps things flexible. 

**Functions (192 chars):** Reusable blocks of code.  Do one specific job and return a value. Like mini-programs within your program. 

**Binary (190 chars):** Computer language of 0s and 1s.  Flips of a switch!  Everything digital uses it, from text to pictures.
 
**Internet (212 chars):** Giant network connecting devices.  Like a web of information highways. Allows us to share and access data globally.

**Security (211 chars):** Protecting data from unauthorized access.  Like a castle for your information. Encryption and passwords keep things safe.

**Software Development (248 chars):** Building programs to solve problems.  From planning to coding and testing.  Like creating tools with instructions.

**Big O Notation (110 chars):** Measures algorithm complexity, showing how long it takes to complete as input size grows. Helps optimize code.

**Recursion (135 chars):** A function calling itself to solve a problem, breaking it down into smaller instances until solved. Efficient for tree/data structures.

**P vs NP Problem (108 chars):** Can every problem with a known solution be solved quickly? If P=NP, many encryption methods would be broken.

**Binary Search (102 chars):** Find an element in a sorted list by dividing the search space in half, repeatedly. Fast and efficient.

**Hash Table (90 chars):** A data structure using keys to store and retrieve values quickly, with minimal collisions.

**Dynamic Programming (102 chars):** Break down complex problems into smaller sub-problems, solving each only once to optimize performance.

**Stack Overflow (95 chars):** When a program uses too much memory, causing the stack to exceed its limit, leading to a crash.

**Cache (102 chars):** A small, fast memory storing frequently accessed data, reducing access time and improving performance.
TIL a series by a new WebDev in Uni
Tags: animatingcss, cssgrid
Published: 2023-03-20 01:34:05

As part of the course I'm taking we are encouraged to do our own research-- I could have learned my course for free online but I want the piece of paper from uni to take to interviews.
Here's my first post, please leave feedback if you see this so I can find some webdev friends and learn things! 

/*HTML CSS coding for Animating CSS Grid using only CSS (no Javascript)*/

(.left is the selector, :hover psuedo-class)
<div class="grid">
<div class= "left"></div>
<div class= "right"></div>
</div>

/*now we edit StyleCSS*/

.grid{ display:grid;
grid-template-columns: 48 px auto;
transition: 300ms;}
/*Both grid-template-columns and transition are adjustable to suite user/developer needs*/

/* the update to make the transition slide out with a hover feature*/
.grid:has(.left:hover){/*hover styles*/ --left:30%;}
/* the :has is the parent selector in this case*/

This programming has potential to create three separate columns each with an expanding feature, so you can potentially program ex: **grid-template-columns: 1fr 1fr 1fr**
Display cannot be hidden and must be set to display none.
, it will acknowledge the section even if set to 0fr.
Python Basics Cheat Sheet
Published: 2024-06-13 11:59:40


# Python Cheatsheet

## Basics

```python
# Print Statement
print("Hello, World!")

# Variables
x = 5
y = "Hello"

# Data Types
int_var = 10            # Integer
float_var = 10.5        # Float
str_var = "Hello"       # String
bool_var = True         # Boolean
list_var = [1, 2, 3]    # List
tuple_var = (1, 2, 3)   # Tuple
set_var = {1, 2, 3}     # Set
dict_var = {"key": "value"}  # Dictionary
```

## Control Structures

```python
# If-Else
if x > 0:
    print("Positive")
elif x == 0:
    print("Zero")
else:
    print("Negative")

# For Loop
for i in range(5):
    print(i)

# While Loop
count = 0
while count < 5:
    print(count)
    count += 1
```

## Functions

```python
def my_function(param1, param2):
    return param1 + param2

result = my_function(5, 3)
print(result)
```

## Classes

```python
class MyClass:
    def __init__(self, name):
        self.name = name

    def greet(self):
        return f"Hello, {self.name}!"

obj = MyClass("Harlin")
print(obj.greet())
```

## Exception Handling

```python
try:
    result = 10 / 0
except ZeroDivisionError:
    print("Cannot divide by zero!")
finally:
    print("Execution complete.")
```

## File Operations

```python
# Read from a file
with open('file.txt', 'r') as file:
    content = file.read()
    print(content)

# Write to a file
with open('file.txt', 'w') as file:
    file.write("Hello, World!")
```

## List Comprehensions

```python
# Basic List Comprehension
squares = [x**2 for x in range(10)]
print(squares)

# Conditional List Comprehension
evens = [x for x in range(10) if x % 2 == 0]
print(evens)
```

## Lambda Functions

```python
# Lambda Function
add = lambda a, b: a + b
print(add(5, 3))
```

## Map, Filter, Reduce

```python
from functools import reduce

# Map
numbers = [1, 2, 3, 4, 5]
squared = list(map(lambda x: x**2, numbers))
print(squared)

# Filter
evens = list(filter(lambda x: x % 2 == 0, numbers))
print(evens)

# Reduce
sum_numbers = reduce(lambda a, b: a + b, numbers)
print(sum_numbers)
```

## Modules

```python
# Importing a Module
import math
print(math.sqrt(16))

# Importing Specific Functions
from math import pi, sin
print(pi)
print(sin(0))
```

## Numpy Basics

```python
import numpy as np

# Creating Arrays
arr = np.array([1, 2, 3, 4, 5])
print(arr)

# Array Operations
print(arr + 5)
print(arr * 2)
print(np.sqrt(arr))
```

## Pandas Basics

```python
import pandas as pd

# Creating DataFrame
data = {
    'Name': ['Alice', 'Bob', 'Charlie'],
    'Age': [24, 27, 22]
}
df = pd.DataFrame(data)
print(df)

# Basic Operations
print(df['Name'])
print(df.describe())
print(df[df['Age'] > 23])
```

## Matplotlib Basics

```python
import matplotlib.pyplot as plt

# Basic Plot
x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
plt.plot(x, y)
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('Sample Plot')
plt.show()
```
Big O Notation: Speed Dating for Algorithms
Tags: devchallenge, cschallenge, computerscience, beginners
Published: 2024-06-13 11:56:56

_This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer._

## Explainer
<!-- Explain a computer science concept in 256 characters or less. -->
Big O Notation: It’s like speed dating for algorithms. Describes how fast (or slow) an algorithm runs as data grows. Helps you spot the quick ones (O(log n)) and avoid the slowpokes (O(n^2)). Just like in dating, you want the fast and efficient, not the ones that waste your time!

<!-- Please share any additional context you think the judges should take into consideration as it relates to your One Byte Explainer. -->

<!-- Team Submissions: Please pick one member to publish the submission and credit teammates by listing their DEV usernames directly in the body of the post. -->

<!-- Don't forget to add a cover image to your post (if you want). -->


<!-- Thanks for participating! -->
Big O' Notation
Tags: devchallenge, cschallenge, computerscience, beginners
Published: 2024-06-13 11:49:32

_This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer._

## Explainer
<!-- Explain a computer science concept in 256 characters or less. -->

**Ranks algorithm speed as data grows.  Slow (O(n^2)) vs Fast (O(log n)) helps choose efficient code.**

## Additional Context
<!-- Please share any additional context you think the judges should take into consideration as it relates to your One Byte Explainer. -->

<!-- Team Submissions: Please pick one member to publish the submission and credit teammates by listing their DEV usernames directly in the body of the post. -->

<!-- Don't forget to add a cover image to your post (if you want). -->


<!-- Thanks for participating! -->
Data protection in AI ?
Tags: ai, webdev, discuss, datascience
Published: 2024-06-13 11:47:05

Today, we hear a lot about AI being integrated into our hardware devices. PCs, smartphones, tablets—big OS companies are collaborating with AI to introduce many new features (perhaps too many).

They always claim that our data will be protected, but **have you seen any real explanations or transparency about that?**
Explore Affordable Solar Products Featuring PV Panels for Sale
Published: 2024-06-13 11:36:00

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Choosing the Right Solar Solution

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FRESHPICK
Published: 2024-06-13 11:34:02

🚀 𝗙𝗿𝗲𝘀𝗵𝗣𝗶𝗰𝗸: 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗚𝗿𝗼𝗰𝗲𝗿𝘆 𝗣𝗶𝗰𝗸𝘂𝗽𝘀 🚀



I'm thrilled to share FreshPick, a project I recently completed as part of the #ALXSE Program. FreshPick is a web application designed to streamline the process of ordering fresh groceries for pickup at your local store, supporting local farmers and providing fresh produce to customers conveniently.



📌 𝗣𝘂𝗿𝗽𝗼𝘀𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁

FreshPick was created to make it easier for people to order fresh, local produce online and pick it up at their convenience. Our goal was to support local farmers while providing a seamless shopping experience for users.



👥 𝗧𝗲𝗮𝗺 𝗠𝗲𝗺𝗯𝗲𝗿𝘀, 𝗥𝗼𝗹𝗲𝘀, 𝗮𝗻𝗱 𝗧𝗶𝗺𝗲𝗹𝗶𝗻𝗲

𝘖𝘶𝘳 𝘥𝘦𝘥𝘪𝘤𝘢𝘵𝘦𝘥 𝘵𝘦𝘢𝘮 𝘮𝘦𝘮𝘣𝘦𝘳𝘴 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥:

@Khalil El Amraoui (Developer/Tester)

@Soufiane Elmouajjeh (Tester/Designer)

Leknouch Wissal (Designer/Developer)



We developed the project over 7 weeks:

𝘞𝘦𝘦𝘬 1: Project proposal and approval

𝘞𝘦𝘦𝘬 2: MVP proposal and approval

𝘞𝘦𝘦𝘬 3: Trello board setup

𝘞𝘦𝘦𝘬𝘴 4-5: Development and progress updates

𝘞𝘦𝘦𝘬 6: Landing page deployment and presentation preparation

𝘞𝘦𝘦𝘬 7: Final presentation and blog post reflection



🎯 𝗧𝗮𝗿𝗴𝗲𝘁 𝗔𝘂𝗱𝗶𝗲𝗻𝗰𝗲

FreshPick was designed for busy individuals who prefer fresh, locally sourced produce and want to save time by ordering groceries online and picking them up at their convenience.



🌟 𝗜𝗻𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗦𝘁𝗼𝗿𝘆

Our team's connection to fresh food and local produce inspired FreshPick. For me, the inspiration came from my childhood. Growing up in a bustling city, my family would visit the local farmers' market every weekend to buy fresh produce. This project brought back those memories and the joy of fresh food, motivating me to create something that would make it easier for others to access fresh, local produce.

🏆 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀

We successfully created a fully functional web application that allows users to order groceries online for pickup. Key accomplishments include:

User-Friendly Design.

Real-Time Updates.

Real-Time Inventory Management.



💻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗨𝘀𝗲𝗱

Frontend: HTML5, CSS3, JavaScript, and Tailwind CSS.

Backend: Python and Django with SQLite.

Deployment: Vercel for deployment and #Railway Postgres as a DataBase.



💬 𝗔𝗯𝗼𝘂𝘁 𝗠𝗲

I'm a software engineering student at #alx passionate about developing web applications that solve real-world problems. I enjoy working on projects that challenge me and help me grow my skills. Connect with me to learn more about my journey and future projects!

GitHub Project: https://lnkd.in/emdnQuma

Deployed Project: https://lnkd.in/eVwEFhhi

Landing Page: https://lnkd.in/eTiSKgQV



Feel free to reach out if you have any questions or feedback about FreshPick!

#ALX #ALXSE #alx_morocco #ALX_Africa #DoHardThings #software #full_stack #coding
Limitações das IAs na aprendizagem dos desenvolvedores
Tags: beginners, management, chatgpt
Published: 2024-06-13 11:30:20

Venho a um tempo falando sobre IA, ao mesmo tempo que algumas reflexões já se tornaram claras, outras ainda dependem de muitas trocas para validarmos algo factível.

Hoje quero compartilhar com vocês alguns pontos importantes sobre as ferramentas de Inteligência Artificial, especialmente os Modelos de Linguagem de Grande Porte (LLMs), quando utilizadas no ensino de fundamentos de software em cursos de TI. Este tema é essencial não apenas para desenvolvedores, sejam juniores ou seniores, mas também para CEOs que estão liderando equipes de tecnologia e inovação.

A capacidade impressionante de gerar código de uma IA é fascinante, mas vale lembrar que nada substitui a experiência e o conhecimento de um desenvolvedor experiente. A criatividade, o pensamento crítico e a habilidade de resolver problemas complexos ainda são atributos humanos que a IA não consegue replicar completamente.

Embora as ferramentas de IA possam ajudar a acelerar processos, elas não garantem que os requisitos do projeto sejam atendidos na íntegra. É crucial que os desenvolvedores tenham um sólido conhecimento dos fundamentos de software para validar e verificar o código gerado. Isso assegura que o resultado final seja funcional e de alta qualidade.

Uma das limitações dos modelos LLMs é a falta de contexto nas explicações que elas fornecem. Para os aprendizes, isso pode ser um obstáculo na compreensão dos conceitos de software. É importante que o aprendizado seja acompanhado por um educador ou mentor que possa oferecer o contexto necessário para uma compreensão completa.

Ao interagir com IA, é fundamental proteger suas informações pessoais. Questões de privacidade e segurança devem ser uma prioridade para todos os usuários, garantindo que dados sensíveis não sejam expostos ou mal utilizados.

As ferramentas como ChatGPT têm muito a oferecer, mas devemos usá-las com discernimento. Entender suas capacidades e limitações, além de manter um conhecimento sólido dos fundamentos de software, é a chave para garantir a qualidade e a segurança dos projetos. 

Para os CEOs, investir no desenvolvimento contínuo das habilidades de suas equipes e promover um ambiente de aprendizado contínuo é essencial. IAs são ótimas aliadas, mas a expertise humana continuará sendo o diferencial competitivo.

Vamos continuar aprendendo e evoluindo juntos!
The Ultimate Guide to Flutter App Development
Tags: webdev, learning, flutter
Published: 2024-06-13 11:29:07

Unleash the Power of Flutter! Discover why our Flutter App Development Company is your top choice for high-performance, cross-platform mobile apps. Check out our latest infographic to see the benefits of #FlutterAppDevelopment and how our expert team can bring your vision to life. #AppDevelopment #MobileApps #Flutter, For more details do visit us here:https://mobisoftinfotech.com/services/flutter-app-development-company

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How 4A0-114 Exam Dumps Aid in Understanding Exam Format
Tags: webdev, javascript, beginners, programming
Published: 2024-06-13 11:26:45

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How to Choose the Right IT Recruitment Consultancy in India
Published: 2024-06-13 11:26:21


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fnyh8cpml33vlzo7b8pm.jpg)

Finding the perfect IT talent is crucial for the success of any tech-driven organization. In India, a booming IT industry means there's a high demand for skilled professionals, making the recruitment process both challenging and competitive. Partnering with the right IT recruitment consultancy can streamline this process and help you secure top-notch talent. Here’s a guide to help you choose the right **[IT recruitment consultancy in India](https://www.impeccablehr.com/IT-recruitment-consultancy.php)**.

## Understand Your Recruitment Needs

Before you start your search for an IT recruitment consultancy, it's essential to have a clear understanding of your company's specific recruitment needs. Define the roles you're looking to fill, the level of expertise required, and the number of hires. Are you looking for temporary staffing, permanent placements, or executive search services? Knowing your requirements will help you select a consultancy that specializes in those areas.

## Research Potential Consultancies

Start by researching potential IT recruitment consultancies in India. Look for firms with a strong reputation and a proven track record in the IT sector. You can find reviews and testimonials online, or seek recommendations from industry peers. Create a shortlist of consultancies that appear to meet your criteria.

## Evaluate Their Industry Expertise

The IT sector is vast and diverse, encompassing various subfields such as software development, cybersecurity, data science, and more. It’s vital to choose an IT recruitment consultancy that has expertise in your specific area of need. Consultancies with specialized knowledge will have a better understanding of the skills and qualifications required, enabling them to find the best candidates for your roles.

## Assess Their Recruitment Process

A transparent and efficient recruitment process is a hallmark of a reliable **[IT recruitment consultancy](https://www.impeccablehr.com/blog-detail.php/elevate-your-career-with-it-recruitment-consultancy)**. Inquire about their sourcing strategies, screening methods, and selection criteria. A good consultancy should have a rigorous process that includes technical assessments, interviews, and background checks to ensure the candidates they present are highly qualified and a good fit for your organization.

### Conclusion

Selecting the right IT recruitment consultancy in India can significantly impact your ability to attract and retain top IT talent. By understanding your needs, researching potential consultancies, and evaluating their expertise, processes, and client portfolio, you can make an informed decision.